{"answer": "def delimiters_ok(text):\n pairs = {\")\": \"(\", \"]\": \"[\", \"}\": \"{\"}\n stack = []\n for ch in text:\n if ch in \"([{\":\n stack.append(ch)\n elif ch in \")]}\":\n if not stack or stack[-1] != pairs[ch]:\n return False\n stack.pop()\n return not stack", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def delimiters_ok(text):\n    pairs = {\")\": \"(\", \"]\": \"[\", \"}\": \"{\"}\n    stack = []\n    for ch in text:\n        if ch in \"([{\":\n            stack.append(ch)\n        elif ch in \")]}\":\n            if not stack or stack[-1] != pairs[ch]:\n                return False\n            stack.pop()\n    return not stack\n", "test_solution.py": "import unittest\nfrom solution import delimiters_ok\n\nclass Test(unittest.TestCase):\n    def test_mixed(self):\n        self.assertTrue(delimiters_ok(\"fn(a[i], {x: 1})\"))\n    def test_crossed(self):\n        self.assertFalse(delimiters_ok(\"([)]\"))\n    def test_extra_close(self):\n        self.assertFalse(delimiters_ok(\"ok)\"))\n    def test_ignore_other(self):\n        self.assertTrue(delimiters_ok(\"\"))\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-nested-delimiter-scan-85bd9022ad05", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 4.35}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "nested_delimiter_scan", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `delimiters_ok(text: str) -> bool`.\n\nReturn True if every round, square, and curly bracket in `text` is correctly\nnested and matched. All other characters are ignored. Empty input is valid.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:25Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def delimiters_ok(text):\n pairs = {\")\": \"(\", \"]\": \"[\", \"}\": \"{\"}\n stack = []\n for ch in text:\n if ch in \"([{\":\n stack.append(ch)\n elif ch in \")]}\":\n if not stack or stack[-1] != pairs[ch]:\n return False\n stack.pop()\n return not stack", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_crossed (test_solution.Test.test_crossed) ... ok\ntest_extra_close (test_solution.Test.test_extra_close) ... ok\ntest_ignore_other (test_solution.Test.test_ignore_other) ... ok\ntest_mixed (test_solution.Test.test_mixed) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def max_window_sum(values, k):\n if k <= 0 or k > len(values):\n raise ValueError(\"invalid window\")\n current = sum(values[:k])\n best = current\n for i in range(k, len(values)):\n current += values[i] - values[i - k]\n if current > best:\n best = current\n return best", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def max_window_sum(values, k):\n    if k <= 0 or k > len(values):\n        raise ValueError(\"invalid window\")\n    current = sum(values[:k])\n    best = current\n    for i in range(k, len(values)):\n        current += values[i] - values[i - k]\n        if current > best:\n            best = current\n    return best\n", "test_solution.py": "import unittest\nfrom solution import max_window_sum\n\nclass Test(unittest.TestCase):\n    def test_example(self):\n        self.assertEqual(max_window_sum([2, 1, 5, 1, 3, 2], 3), 9)\n    def test_k_one(self):\n        self.assertEqual(max_window_sum([-4, 8, -1], 1), 8)\n    def test_bad(self):\n        with self.assertRaises(ValueError):\n            max_window_sum([1, 2], 3)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-window-max-sum-6217a2479b07", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.575, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 4.5}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "window_max_sum", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `max_window_sum(values, k)` returning the maximum sum of any\ncontiguous subarray of length `k`. If `k` is larger than the list, raise ValueError.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def max_window_sum(values, k):\n if k <= 0 or k > len(values):\n raise ValueError(\"invalid window\")\n current = sum(values[:k])\n best = current\n for i in range(k, len(values)):\n current += values[i] - values[i - k]\n if current > best:\n best = current\n return best", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_example (test_solution.Test.test_example) ... ok\ntest_k_one (test_solution.Test.test_k_one) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def max_window_sum(values, k):\n if k <= 0 or k > len(values):\n raise ValueError(\"invalid window\")\n current = sum(values[:k])\n best = current\n for i in range(k, len(values)):\n current += values[i] - values[i - k]\n if current > best:\n best = current\n return best", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_bad (test_solution.Test.test_bad) ... ok\ntest_example (test_solution.Test.test_example) ... FAIL\ntest_k_one (test_solution.Test.test_k_one) ... FAIL\n\n======================================================================\nFAIL: test_example (test_solution.Test.test_example)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-vb8pc209\\test_solution.py\", line 6, in test_example\n    self.assertEqual(max_window_sum([2, 1, 5, 1, 3, 2], 3), 9)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 14 != 9\n\n======================================================================\nFAIL: test_k_one (test_solution.Test.test_k_one)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-vb8pc209\\test_solution.py\", line 8, in test_k_one\n    self.assertEqual(max_window_sum([-4, 8, -1], 1), 8)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 4 != 8\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "def max_window_sum(values, k):\n    if k <= 0 or k > len(values):\n        raise ValueError(\"invalid window\")\n    current = sum(values[:k])\n    best = current\n    for i in range(k, len(values)):\n        current += values[i]\n        if current > best:\n            best = current\n    return best\n", "test_solution.py": "import unittest\nfrom solution import max_window_sum\n\nclass Test(unittest.TestCase):\n    def test_example(self):\n        self.assertEqual(max_window_sum([2, 1, 5, 1, 3, 2], 3), 9)\n    def test_k_one(self):\n        self.assertEqual(max_window_sum([-4, 8, -1], 1), 8)\n    def test_bad(self):\n        with self.assertRaises(ValueError):\n            max_window_sum([1, 2], 3)\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-window-max-sum-f631254a0e69", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.575, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.875}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_example (test_solution.Test.test_example) ... FAIL\ntest_k_one (test_solution.Test.test_k_one) ... FAIL\n\n======================================================================\nFAIL: test_example (test_solution.Test.test_example)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-vb8pc209\\test_solution.py\", line 6, in test_example\n    self.assertEqual(max_window_sum([2, 1, 5, 1, 3, 2], 3), 9)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 14 != 9\n\n======================================================================\nFAIL: test_k_one (test_solution.Test.test_k_one)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-vb8pc209\\test_solution.py\", line 8, in test_k_one\n    self.assertEqual(max_window_sum([-4, 8, -1], 1), 8)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 4 != 8\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "window_max_sum", "tests_passed_after_fix": 3, "topic": "algorithms"}, "natural_language": "en", "observations": ["Forgets to subtract the value leaving the window."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `max_window_sum(values, k)` returning the maximum sum of any\ncontiguous subarray of length `k`. If `k` is larger than the list, raise ValueError.\n\n--- solution.py (buggy) ---\ndef max_window_sum(values, k):\n if k <= 0 or k > len(values):\n raise ValueError(\"invalid window\")\n current = sum(values[:k])\n best = current\n for i in range(k, len(values)):\n current += values[i]\n if current > best:\n best = current\n return best\n\n--- test_solution.py ---\nimport unittest\nfrom solution import max_window_sum\n\nclass Test(unittest.TestCase):\n def test_example(self):\n self.assertEqual(max_window_sum([2, 1, 5, 1, 3, 2], 3), 9)\n def test_k_one(self):\n self.assertEqual(max_window_sum([-4, 8, -1], 1), 8)\n def test_bad(self):\n with self.assertRaises(ValueError):\n max_window_sum([1, 2], 3)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_bad (test_solution.Test.test_bad) ... ok\ntest_example (test_solution.Test.test_example) ... FAIL\ntest_k_one (test_solution.Test.test_k_one) ... FAIL\n\n======================================================================\nFAIL: test_example (test_solution.Test.test_example)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-vb8pc209\\test_solution.py\", line 6, in test_example\n self.assertEqual(max_window_sum([2, 1, 5, 1, 3, 2], 3), 9)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 14 != 9\n\n======================================================================\nFAIL: test_k_one (test_solution.Test.test_k_one)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-vb8pc209\\test_solution.py\", line 8, in test_k_one\n self.assertEqual(max_window_sum([-4, 8, -1], 1), 8)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 4 != 8\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def max_window_sum(values, k):\n if k <= 0 or k > len(values):\n raise ValueError(\"invalid window\")\n current = sum(values[:k])\n best = current\n for i in range(k, len(values)):\n current += values[i] - values[i - k]\n if current > best:\n best = current\n return best", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_example (test_solution.Test.test_example) ... ok\ntest_k_one (test_solution.Test.test_k_one) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def group_in_order(items, key_fn):\n order = []\n buckets = {}\n for item in items:\n key = key_fn(item)\n if key not in buckets:\n buckets[key] = []\n order.append(key)\n buckets[key].append(item)\n return [(key, buckets[key]) for key in order]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def group_in_order(items, key_fn):\n    order = []\n    buckets = {}\n    for item in items:\n        key = key_fn(item)\n        if key not in buckets:\n            buckets[key] = []\n            order.append(key)\n        buckets[key].append(item)\n    return [(key, buckets[key]) for key in order]\n", "test_solution.py": "import unittest\nfrom solution import group_in_order\n\nclass Test(unittest.TestCase):\n    def test_order(self):\n        data = [\"apple\", \"apricot\", \"banana\", \"avocado\"]\n        got = group_in_order(data, lambda s: s[0])\n        self.assertEqual([k for k, _ in got], [\"a\", \"b\"])\n        self.assertEqual(got[0][1], [\"apple\", \"apricot\", \"avocado\"])\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-stable-group-by-af1de6dd3bd2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.825, "tests": 0.0, "total": 4.324999999999999}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "stable_group_by", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `group_in_order(items, key_fn)` that groups consecutive items with\nthe same key, preserving first-seen group order for non-consecutive keys as well\n(like an insertion-ordered map of lists). Return a list of (key, group_list) pairs.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def group_in_order(items, key_fn):\n order = []\n buckets = {}\n for item in items:\n key = key_fn(item)\n if key not in buckets:\n buckets[key] = []\n order.append(key)\n buckets[key].append(item)\n return [(key, buckets[key]) for key in order]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_order (test_solution.Test.test_order) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import OrderedDict\n\nclass TinyLRU:\n def __init__(self, capacity):\n if capacity < 1:\n raise ValueError(\"capacity\")\n self.capacity = capacity\n self._data = OrderedDict()\n\n def get(self, key):\n if key not in self._data:\n return None\n self._data.move_to_end(key)\n return self._data[key]\n\n def put(self, key, value):\n if key in self._data:\n self._data.move_to_end(key)\n self._data[key] = value\n else:\n self._data[key] = value\n if len(self._data) > self.capacity:\n self._data.popitem(last=False)", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import OrderedDict\n\nclass TinyLRU:\n    def __init__(self, capacity):\n        if capacity < 1:\n            raise ValueError(\"capacity\")\n        self.capacity = capacity\n        self._data = OrderedDict()\n\n    def get(self, key):\n        if key not in self._data:\n            return None\n        self._data.move_to_end(key)\n        return self._data[key]\n\n    def put(self, key, value):\n        if key in self._data:\n            self._data.move_to_end(key)\n            self._data[key] = value\n        else:\n            self._data[key] = value\n            if len(self._data) > self.capacity:\n                self._data.popitem(last=False)\n", "test_solution.py": "import unittest\nfrom solution import TinyLRU\n\nclass Test(unittest.TestCase):\n    def test_evict(self):\n        c = TinyLRU(2)\n        c.put(\"a\", 1)\n        c.put(\"b\", 2)\n        c.get(\"a\")\n        c.put(\"c\", 3)\n        self.assertIsNone(c.get(\"b\"))\n        self.assertEqual(c.get(\"a\"), 1)\n        self.assertEqual(c.get(\"c\"), 3)\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-lru-cache-map-5dfd0b972649", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.95, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.7, "tests": 0.0, "total": 4.25}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "lru_cache_map", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement class `TinyLRU(capacity)` with `get(key)` (return None if missing)\nand `put(key, value)`. Evict the least recently used entry when over capacity.\nBoth get and put count as use.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import OrderedDict\n\nclass TinyLRU:\n def __init__(self, capacity):\n if capacity < 1:\n raise ValueError(\"capacity\")\n self.capacity = capacity\n self._data = OrderedDict()\n\n def get(self, key):\n if key not in self._data:\n return None\n self._data.move_to_end(key)\n return self._data[key]\n\n def put(self, key, value):\n if key in self._data:\n self._data.move_to_end(key)\n self._data[key] = value\n else:\n self._data[key] = value\n if len(self._data) > self.capacity:\n self._data.popitem(last=False)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_evict (test_solution.Test.test_evict) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import OrderedDict\n\nclass TinyLRU:\n def __init__(self, capacity):\n if capacity < 1:\n raise ValueError(\"capacity\")\n self.capacity = capacity\n self._data = OrderedDict()\n\n def get(self, key):\n if key not in self._data:\n return None\n self._data.move_to_end(key)\n return self._data[key]\n\n def put(self, key, value):\n if key in self._data:\n self._data.move_to_end(key)\n self._data[key] = value\n else:\n self._data[key] = value\n if len(self._data) > self.capacity:\n self._data.popitem(last=False)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_evict (test_solution.Test.test_evict) ... FAIL\n\n======================================================================\nFAIL: test_evict (test_solution.Test.test_evict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-v9sxhjaz\\test_solution.py\", line 11, in test_evict\n    self.assertIsNone(c.get(\"b\"))\n    ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: 2 is not None\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "from collections import OrderedDict\n\nclass TinyLRU:\n    def __init__(self, capacity):\n        self.capacity = capacity\n        self._data = OrderedDict()\n\n    def get(self, key):\n        return self._data.get(key)\n\n    def put(self, key, value):\n        self._data[key] = value\n        if len(self._data) > self.capacity:\n            self._data.popitem(last=False)\n", "test_solution.py": "import unittest\nfrom solution import TinyLRU\n\nclass Test(unittest.TestCase):\n    def test_evict(self):\n        c = TinyLRU(2)\n        c.put(\"a\", 1)\n        c.put(\"b\", 2)\n        c.get(\"a\")\n        c.put(\"c\", 3)\n        self.assertIsNone(c.get(\"b\"))\n        self.assertEqual(c.get(\"a\"), 1)\n        self.assertEqual(c.get(\"c\"), 3)\n"}}, "topic": "data_structures"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-lru-cache-map-dd703ee47a0f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.725, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.925, "tests": 0.0, "total": 10.95}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_evict (test_solution.Test.test_evict) ... FAIL\n\n======================================================================\nFAIL: test_evict (test_solution.Test.test_evict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-v9sxhjaz\\test_solution.py\", line 11, in test_evict\n    self.assertIsNone(c.get(\"b\"))\n    ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: 2 is not None\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "lru_cache_map", "tests_passed_after_fix": 1, "topic": "data_structures"}, "natural_language": "en", "observations": ["get() does not refresh recency."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement class `TinyLRU(capacity)` with `get(key)` (return None if missing)\nand `put(key, value)`. Evict the least recently used entry when over capacity.\nBoth get and put count as use.\n\n--- solution.py (buggy) ---\nfrom collections import OrderedDict\n\nclass TinyLRU:\n def __init__(self, capacity):\n self.capacity = capacity\n self._data = OrderedDict()\n\n def get(self, key):\n return self._data.get(key)\n\n def put(self, key, value):\n self._data[key] = value\n if len(self._data) > self.capacity:\n self._data.popitem(last=False)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import TinyLRU\n\nclass Test(unittest.TestCase):\n def test_evict(self):\n c = TinyLRU(2)\n c.put(\"a\", 1)\n c.put(\"b\", 2)\n c.get(\"a\")\n c.put(\"c\", 3)\n self.assertIsNone(c.get(\"b\"))\n self.assertEqual(c.get(\"a\"), 1)\n self.assertEqual(c.get(\"c\"), 3)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_evict (test_solution.Test.test_evict) ... FAIL\n\n======================================================================\nFAIL: test_evict (test_solution.Test.test_evict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-v9sxhjaz\\test_solution.py\", line 11, in test_evict\n self.assertIsNone(c.get(\"b\"))\n ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: 2 is not None\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import OrderedDict\n\nclass TinyLRU:\n def __init__(self, capacity):\n if capacity < 1:\n raise ValueError(\"capacity\")\n self.capacity = capacity\n self._data = OrderedDict()\n\n def get(self, key):\n if key not in self._data:\n return None\n self._data.move_to_end(key)\n return self._data[key]\n\n def put(self, key, value):\n if key in self._data:\n self._data.move_to_end(key)\n self._data[key] = value\n else:\n self._data[key] = value\n if len(self._data) > self.capacity:\n self._data.popitem(last=False)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_evict (test_solution.Test.test_evict) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def first_ge(sorted_values, target):\n lo, hi = 0, len(sorted_values)\n while lo < hi:\n mid = (lo + hi) // 2\n if sorted_values[mid] < target:\n lo = mid + 1\n else:\n hi = mid\n return lo", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def first_ge(sorted_values, target):\n    lo, hi = 0, len(sorted_values)\n    while lo < hi:\n        mid = (lo + hi) // 2\n        if sorted_values[mid] < target:\n            lo = mid + 1\n        else:\n            hi = mid\n    return lo\n", "test_solution.py": "import unittest\nfrom solution import first_ge\n\nclass Test(unittest.TestCase):\n    def test_mid(self):\n        self.assertEqual(first_ge([1, 3, 3, 7, 9], 3), 1)\n    def test_end(self):\n        self.assertEqual(first_ge([1, 2, 4], 5), 3)\n    def test_first(self):\n        self.assertEqual(first_ge([2, 4, 6], 0), 0)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-binary-search-first-4a8714ec195f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 4.824999999999999}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "binary_search_first", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `first_ge(sorted_values, target)` returning the smallest index i\nsuch that sorted_values[i] >= target, or len(sorted_values) if none exists.\nThe list is sorted non-decreasing.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def first_ge(sorted_values, target):\n lo, hi = 0, len(sorted_values)\n while lo < hi:\n mid = (lo + hi) // 2\n if sorted_values[mid] < target:\n lo = mid + 1\n else:\n hi = mid\n return lo", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_end (test_solution.Test.test_end) ... ok\ntest_first (test_solution.Test.test_first) ... ok\ntest_mid (test_solution.Test.test_mid) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def merge_ranges(ranges):\n if not ranges:\n return []\n ordered = sorted(ranges, key=lambda r: r[0])\n out = [list(ordered[0])]\n for start, end in ordered[1:]:\n if start <= out[-1][1]:\n out[-1][1] = max(out[-1][1], end)\n else:\n out.append([start, end])\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def merge_ranges(ranges):\n    if not ranges:\n        return []\n    ordered = sorted(ranges, key=lambda r: r[0])\n    out = [list(ordered[0])]\n    for start, end in ordered[1:]:\n        if start <= out[-1][1]:\n            out[-1][1] = max(out[-1][1], end)\n        else:\n            out.append([start, end])\n    return out\n", "test_solution.py": "import unittest\nfrom solution import merge_ranges\n\nclass Test(unittest.TestCase):\n    def test_overlap(self):\n        self.assertEqual(merge_ranges([[1, 3], [2, 6], [8, 10]]), [[1, 6], [8, 10]])\n    def test_touch(self):\n        self.assertEqual(merge_ranges([[1, 2], [2, 3]]), [[1, 3]])\n    def test_empty(self):\n        self.assertEqual(merge_ranges([]), [])\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-merge-intervals-cc5bc5fd01ac", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.575, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 4.5}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "merge_intervals", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `merge_ranges(ranges)` where each range is [start, end] with\nstart <= end. Return a new list of disjoint merged ranges sorted by start.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def merge_ranges(ranges):\n if not ranges:\n return []\n ordered = sorted(ranges, key=lambda r: r[0])\n out = [list(ordered[0])]\n for start, end in ordered[1:]:\n if start <= out[-1][1]:\n out[-1][1] = max(out[-1][1], end)\n else:\n out.append([start, end])\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_overlap (test_solution.Test.test_overlap) ... ok\ntest_touch (test_solution.Test.test_touch) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def merge_ranges(ranges):\n if not ranges:\n return []\n ordered = sorted(ranges, key=lambda r: r[0])\n out = [list(ordered[0])]\n for start, end in ordered[1:]:\n if start <= out[-1][1]:\n out[-1][1] = max(out[-1][1], end)\n else:\n out.append([start, end])\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_overlap (test_solution.Test.test_overlap) ... ok\ntest_touch (test_solution.Test.test_touch) ... FAIL\n\n======================================================================\nFAIL: test_touch (test_solution.Test.test_touch)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ajewpy74\\test_solution.py\", line 8, in test_touch\n    self.assertEqual(merge_ranges([[1, 2], [2, 3]]), [[1, 3]])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1, 2], [2, 3]] != [[1, 3]]\n\nFirst differing element 0:\n[1, 2]\n[1, 3]\n\nFirst list contains 1 additional elements.\nFirst extra element 1:\n[2, 3]\n\n- [[1, 2], [2, 3]]\n+ [[1, 3]]\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def merge_ranges(ranges):\n    if not ranges:\n        return []\n    ordered = sorted(ranges, key=lambda r: r[0])\n    out = [list(ordered[0])]\n    for start, end in ordered[1:]:\n        if start < out[-1][1]:\n            out[-1][1] = max(out[-1][1], end)\n        else:\n            out.append([start, end])\n    return out\n", "test_solution.py": "import unittest\nfrom solution import merge_ranges\n\nclass Test(unittest.TestCase):\n    def test_overlap(self):\n        self.assertEqual(merge_ranges([[1, 3], [2, 6], [8, 10]]), [[1, 6], [8, 10]])\n    def test_touch(self):\n        self.assertEqual(merge_ranges([[1, 2], [2, 3]]), [[1, 3]])\n    def test_empty(self):\n        self.assertEqual(merge_ranges([]), [])\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-merge-intervals-c50347851e38", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.575, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.875}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_overlap (test_solution.Test.test_overlap) ... ok\ntest_touch (test_solution.Test.test_touch) ... FAIL\n\n======================================================================\nFAIL: test_touch (test_solution.Test.test_touch)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ajewpy74\\test_solution.py\", line 8, in test_touch\n    self.assertEqual(merge_ranges([[1, 2], [2, 3]]), [[1, 3]])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1, 2], [2, 3]] != [[1, 3]]\n\nFirst differing element 0:\n[1, 2]\n[1, 3]\n\nFirst list contains 1 additional elements.\nFirst extra element 1:\n[2, 3]\n\n- [[1, 2], [2, 3]]\n+ [[1, 3]]\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "merge_intervals", "tests_passed_after_fix": 3, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `merge_ranges(ranges)` where each range is [start, end] with\nstart <= end. Return a new list of disjoint merged ranges sorted by start.\n\n--- solution.py (buggy) ---\ndef merge_ranges(ranges):\n if not ranges:\n return []\n ordered = sorted(ranges, key=lambda r: r[0])\n out = [list(ordered[0])]\n for start, end in ordered[1:]:\n if start < out[-1][1]:\n out[-1][1] = max(out[-1][1], end)\n else:\n out.append([start, end])\n return out\n\n--- test_solution.py ---\nimport unittest\nfrom solution import merge_ranges\n\nclass Test(unittest.TestCase):\n def test_overlap(self):\n self.assertEqual(merge_ranges([[1, 3], [2, 6], [8, 10]]), [[1, 6], [8, 10]])\n def test_touch(self):\n self.assertEqual(merge_ranges([[1, 2], [2, 3]]), [[1, 3]])\n def test_empty(self):\n self.assertEqual(merge_ranges([]), [])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_overlap (test_solution.Test.test_overlap) ... ok\ntest_touch (test_solution.Test.test_touch) ... FAIL\n\n======================================================================\nFAIL: test_touch (test_solution.Test.test_touch)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ajewpy74\\test_solution.py\", line 8, in test_touch\n self.assertEqual(merge_ranges([[1, 2], [2, 3]]), [[1, 3]])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1, 2], [2, 3]] != [[1, 3]]\n\nFirst differing element 0:\n[1, 2]\n[1, 3]\n\nFirst list contains 1 additional elements.\nFirst extra element 1:\n[2, 3]\n\n- [[1, 2], [2, 3]]\n+ [[1, 3]]\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def merge_ranges(ranges):\n if not ranges:\n return []\n ordered = sorted(ranges, key=lambda r: r[0])\n out = [list(ordered[0])]\n for start, end in ordered[1:]:\n if start <= out[-1][1]:\n out[-1][1] = max(out[-1][1], end)\n else:\n out.append([start, end])\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_overlap (test_solution.Test.test_overlap) ... ok\ntest_touch (test_solution.Test.test_touch) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "from collections import defaultdict, deque\n\ndef topo_sort(nodes, edges):\n incoming = {n: 0 for n in nodes}\n graph = defaultdict(list)\n for src, dst in edges:\n graph[src].append(dst)\n incoming[dst] = incoming.get(dst, 0) + 1\n incoming.setdefault(src, incoming.get(src, 0))\n ready = deque([n for n in nodes if incoming.get(n, 0) == 0])\n order = []\n while ready:\n node = ready.popleft()\n order.append(node)\n for nxt in graph[node]:\n incoming[nxt] -= 1\n if incoming[nxt] == 0:\n ready.append(nxt)\n if len(order) != len(nodes):\n raise ValueError(\"cycle\")\n return order", "assumptions": [], "concept_id": "python.collections", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import defaultdict, deque\n\ndef topo_sort(nodes, edges):\n    incoming = {n: 0 for n in nodes}\n    graph = defaultdict(list)\n    for src, dst in edges:\n        graph[src].append(dst)\n        incoming[dst] = incoming.get(dst, 0) + 1\n        incoming.setdefault(src, incoming.get(src, 0))\n    ready = deque([n for n in nodes if incoming.get(n, 0) == 0])\n    order = []\n    while ready:\n        node = ready.popleft()\n        order.append(node)\n        for nxt in graph[node]:\n            incoming[nxt] -= 1\n            if incoming[nxt] == 0:\n                ready.append(nxt)\n    if len(order) != len(nodes):\n        raise ValueError(\"cycle\")\n    return order\n", "test_solution.py": "import unittest\nfrom solution import topo_sort\n\nclass Test(unittest.TestCase):\n    def test_chain(self):\n        order = topo_sort([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\")])\n        self.assertEqual(order, [\"a\", \"b\", \"c\"])\n    def test_cycle(self):\n        with self.assertRaises(ValueError):\n            topo_sort([\"a\", \"b\"], [(\"a\", \"b\"), (\"b\", \"a\")])\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-topo-order-50c5ec8cdc24", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.825, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.975, "tests": 0.0, "total": 4.9}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "topo_order", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `topo_sort(nodes, edges)` for a directed acyclic graph.\n`nodes` is a list of hashable ids. `edges` is a list of (src, dst) meaning\nsrc must come before dst. Return any valid topological order. Raise ValueError\nif a cycle exists.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import defaultdict, deque\n\ndef topo_sort(nodes, edges):\n incoming = {n: 0 for n in nodes}\n graph = defaultdict(list)\n for src, dst in edges:\n graph[src].append(dst)\n incoming[dst] = incoming.get(dst, 0) + 1\n incoming.setdefault(src, incoming.get(src, 0))\n ready = deque([n for n in nodes if incoming.get(n, 0) == 0])\n order = []\n while ready:\n node = ready.popleft()\n order.append(node)\n for nxt in graph[node]:\n incoming[nxt] -= 1\n if incoming[nxt] == 0:\n ready.append(nxt)\n if len(order) != len(nodes):\n raise ValueError(\"cycle\")\n return order", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_chain (test_solution.Test.test_chain) ... ok\ntest_cycle (test_solution.Test.test_cycle) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "from collections import defaultdict, deque\n\ndef topo_sort(nodes, edges):\n incoming = {n: 0 for n in nodes}\n graph = defaultdict(list)\n for src, dst in edges:\n graph[src].append(dst)\n incoming[dst] = incoming.get(dst, 0) + 1\n incoming.setdefault(src, incoming.get(src, 0))\n ready = deque([n for n in nodes if incoming.get(n, 0) == 0])\n order = []\n while ready:\n node = ready.popleft()\n order.append(node)\n for nxt in graph[node]:\n incoming[nxt] -= 1\n if incoming[nxt] == 0:\n ready.append(nxt)\n if len(order) != len(nodes):\n raise ValueError(\"cycle\")\n return order", "assumptions": [], "concept_id": "python.collections", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_chain (test_solution.Test.test_chain) ... FAIL\ntest_cycle (test_solution.Test.test_cycle) ... ok\n\n======================================================================\nFAIL: test_chain (test_solution.Test.test_chain)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ucrcq27c\\test_solution.py\", line 7, in test_chain\n    self.assertEqual(order, [\"a\", \"b\", \"c\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['b', 'c', 'c'] != ['a', 'b', 'c']\n\nFirst differing element 0:\n'b'\n'a'\n\n- ['b', 'c', 'c']\n+ ['a', 'b', 'c']\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "from collections import defaultdict, deque\n\ndef topo_sort(nodes, edges):\n    incoming = {n: 0 for n in nodes}\n    graph = defaultdict(list)\n    for src, dst in edges:\n        graph[src].append(dst)\n        incoming[dst] = incoming.get(dst, 0) + 1\n        incoming.setdefault(src, incoming.get(src, 0))\n    ready = deque([n for n in nodes if incoming.get(n, 0) != 0])\n    order = []\n    while ready:\n        node = ready.popleft()\n        order.append(node)\n        for nxt in graph[node]:\n            incoming[nxt] -= 1\n            if incoming[nxt] == 0:\n                ready.append(nxt)\n    if len(order) != len(nodes):\n        raise ValueError(\"cycle\")\n    return order\n", "test_solution.py": "import unittest\nfrom solution import topo_sort\n\nclass Test(unittest.TestCase):\n    def test_chain(self):\n        order = topo_sort([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\")])\n        self.assertEqual(order, [\"a\", \"b\", \"c\"])\n    def test_cycle(self):\n        with self.assertRaises(ValueError):\n            topo_sort([\"a\", \"b\"], [(\"a\", \"b\"), (\"b\", \"a\")])\n"}}, "topic": "algorithms"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-topo-order-4b5906ec6df5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.825, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.125}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_chain (test_solution.Test.test_chain) ... FAIL\ntest_cycle (test_solution.Test.test_cycle) ... ok\n\n======================================================================\nFAIL: test_chain (test_solution.Test.test_chain)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ucrcq27c\\test_solution.py\", line 7, in test_chain\n    self.assertEqual(order, [\"a\", \"b\", \"c\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['b', 'c', 'c'] != ['a', 'b', 'c']\n\nFirst differing element 0:\n'b'\n'a'\n\n- ['b', 'c', 'c']\n+ ['a', 'b', 'c']\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "topo_order", "tests_passed_after_fix": 2, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `topo_sort(nodes, edges)` for a directed acyclic graph.\n`nodes` is a list of hashable ids. `edges` is a list of (src, dst) meaning\nsrc must come before dst. Return any valid topological order. Raise ValueError\nif a cycle exists.\n\n--- solution.py (buggy) ---\nfrom collections import defaultdict, deque\n\ndef topo_sort(nodes, edges):\n incoming = {n: 0 for n in nodes}\n graph = defaultdict(list)\n for src, dst in edges:\n graph[src].append(dst)\n incoming[dst] = incoming.get(dst, 0) + 1\n incoming.setdefault(src, incoming.get(src, 0))\n ready = deque([n for n in nodes if incoming.get(n, 0) != 0])\n order = []\n while ready:\n node = ready.popleft()\n order.append(node)\n for nxt in graph[node]:\n incoming[nxt] -= 1\n if incoming[nxt] == 0:\n ready.append(nxt)\n if len(order) != len(nodes):\n raise ValueError(\"cycle\")\n return order\n\n--- test_solution.py ---\nimport unittest\nfrom solution import topo_sort\n\nclass Test(unittest.TestCase):\n def test_chain(self):\n order = topo_sort([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\")])\n self.assertEqual(order, [\"a\", \"b\", \"c\"])\n def test_cycle(self):\n with self.assertRaises(ValueError):\n topo_sort([\"a\", \"b\"], [(\"a\", \"b\"), (\"b\", \"a\")])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_chain (test_solution.Test.test_chain) ... FAIL\ntest_cycle (test_solution.Test.test_cycle) ... ok\n\n======================================================================\nFAIL: test_chain (test_solution.Test.test_chain)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ucrcq27c\\test_solution.py\", line 7, in test_chain\n self.assertEqual(order, [\"a\", \"b\", \"c\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['b', 'c', 'c'] != ['a', 'b', 'c']\n\nFirst differing element 0:\n'b'\n'a'\n\n- ['b', 'c', 'c']\n+ ['a', 'b', 'c']\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import defaultdict, deque\n\ndef topo_sort(nodes, edges):\n incoming = {n: 0 for n in nodes}\n graph = defaultdict(list)\n for src, dst in edges:\n graph[src].append(dst)\n incoming[dst] = incoming.get(dst, 0) + 1\n incoming.setdefault(src, incoming.get(src, 0))\n ready = deque([n for n in nodes if incoming.get(n, 0) == 0])\n order = []\n while ready:\n node = ready.popleft()\n order.append(node)\n for nxt in graph[node]:\n incoming[nxt] -= 1\n if incoming[nxt] == 0:\n ready.append(nxt)\n if len(order) != len(nodes):\n raise ValueError(\"cycle\")\n return order", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_chain (test_solution.Test.test_chain) ... ok\ntest_cycle (test_solution.Test.test_cycle) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import heapq\n\ndef shortest_cost(graph, start, goal):\n best = {start: 0}\n heap = [(0, start)]\n while heap:\n cost, node = heapq.heappop(heap)\n if cost != best.get(node, None):\n continue\n if node == goal:\n return cost\n for nxt, weight in graph.get(node, []):\n cand = cost + weight\n if cand < best.get(nxt, float(\"inf\")):\n best[nxt] = cand\n heapq.heappush(heap, (cand, nxt))\n return None", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import heapq\n\ndef shortest_cost(graph, start, goal):\n    best = {start: 0}\n    heap = [(0, start)]\n    while heap:\n        cost, node = heapq.heappop(heap)\n        if cost != best.get(node, None):\n            continue\n        if node == goal:\n            return cost\n        for nxt, weight in graph.get(node, []):\n            cand = cost + weight\n            if cand < best.get(nxt, float(\"inf\")):\n                best[nxt] = cand\n                heapq.heappush(heap, (cand, nxt))\n    return None\n", "test_solution.py": "import unittest\nfrom solution import shortest_cost\n\nclass Test(unittest.TestCase):\n    def test_path(self):\n        g = {\"s\": [(\"a\", 2), (\"b\", 5)], \"a\": [(\"g\", 2)], \"b\": [(\"g\", 1)], \"g\": []}\n        self.assertEqual(shortest_cost(g, \"s\", \"g\"), 4)\n    def test_missing(self):\n        self.assertIsNone(shortest_cost({\"s\": []}, \"s\", \"z\"))\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-dijkstra-hops-3cc79c98ed19", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.4}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "dijkstra_hops", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `shortest_cost(graph, start, goal)` where graph maps node ->\nlist of (neighbor, weight) with non-negative weights. Return the minimum cost\nor None if unreachable.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import heapq\n\ndef shortest_cost(graph, start, goal):\n best = {start: 0}\n heap = [(0, start)]\n while heap:\n cost, node = heapq.heappop(heap)\n if cost != best.get(node, None):\n continue\n if node == goal:\n return cost\n for nxt, weight in graph.get(node, []):\n cand = cost + weight\n if cand < best.get(nxt, float(\"inf\")):\n best[nxt] = cand\n heapq.heappush(heap, (cand, nxt))\n return None", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_missing (test_solution.Test.test_missing) ... ok\ntest_path (test_solution.Test.test_path) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import heapq\n\ndef shortest_cost(graph, start, goal):\n best = {start: 0}\n heap = [(0, start)]\n while heap:\n cost, node = heapq.heappop(heap)\n if cost != best.get(node, None):\n continue\n if node == goal:\n return cost\n for nxt, weight in graph.get(node, []):\n cand = cost + weight\n if cand < best.get(nxt, float(\"inf\")):\n best[nxt] = cand\n heapq.heappush(heap, (cand, nxt))\n return None", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_missing (test_solution.Test.test_missing) ... FAIL\ntest_path (test_solution.Test.test_path) ... FAIL\n\n======================================================================\nFAIL: test_missing (test_solution.Test.test_missing)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4tt_bkpa\\test_solution.py\", line 9, in test_missing\n    self.assertIsNone(shortest_cost({\"s\": []}, \"s\", \"z\"))\n    ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 is not None\n\n======================================================================\nFAIL: test_path (test_solution.Test.test_path)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4tt_bkpa\\test_solution.py\", line 7, in test_path\n    self.assertEqual(shortest_cost(g, \"s\", \"g\"), 4)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 4\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "import heapq\n\ndef shortest_cost(graph, start, goal):\n    best = {start: 0}\n    heap = [(0, start)]\n    while heap:\n        cost, node = heapq.heappop(heap)\n        if cost != best.get(node, None):\n            continue\n        if node != goal:\n            return cost\n        for nxt, weight in graph.get(node, []):\n            cand = cost + weight\n            if cand < best.get(nxt, float(\"inf\")):\n                best[nxt] = cand\n                heapq.heappush(heap, (cand, nxt))\n    return None\n", "test_solution.py": "import unittest\nfrom solution import shortest_cost\n\nclass Test(unittest.TestCase):\n    def test_path(self):\n        g = {\"s\": [(\"a\", 2), (\"b\", 5)], \"a\": [(\"g\", 2)], \"b\": [(\"g\", 1)], \"g\": []}\n        self.assertEqual(shortest_cost(g, \"s\", \"g\"), 4)\n    def test_missing(self):\n        self.assertIsNone(shortest_cost({\"s\": []}, \"s\", \"z\"))\n"}}, "topic": "algorithms"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-dijkstra-hops-2b627cabae14", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.0}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_missing (test_solution.Test.test_missing) ... FAIL\ntest_path (test_solution.Test.test_path) ... FAIL\n\n======================================================================\nFAIL: test_missing (test_solution.Test.test_missing)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4tt_bkpa\\test_solution.py\", line 9, in test_missing\n    self.assertIsNone(shortest_cost({\"s\": []}, \"s\", \"z\"))\n    ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 is not None\n\n======================================================================\nFAIL: test_path (test_solution.Test.test_path)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4tt_bkpa\\test_solution.py\", line 7, in test_path\n    self.assertEqual(shortest_cost(g, \"s\", \"g\"), 4)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 4\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "dijkstra_hops", "tests_passed_after_fix": 2, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `shortest_cost(graph, start, goal)` where graph maps node ->\nlist of (neighbor, weight) with non-negative weights. Return the minimum cost\nor None if unreachable.\n\n--- solution.py (buggy) ---\nimport heapq\n\ndef shortest_cost(graph, start, goal):\n best = {start: 0}\n heap = [(0, start)]\n while heap:\n cost, node = heapq.heappop(heap)\n if cost != best.get(node, None):\n continue\n if node != goal:\n return cost\n for nxt, weight in graph.get(node, []):\n cand = cost + weight\n if cand < best.get(nxt, float(\"inf\")):\n best[nxt] = cand\n heapq.heappush(heap, (cand, nxt))\n return None\n\n--- test_solution.py ---\nimport unittest\nfrom solution import shortest_cost\n\nclass Test(unittest.TestCase):\n def test_path(self):\n g = {\"s\": [(\"a\", 2), (\"b\", 5)], \"a\": [(\"g\", 2)], \"b\": [(\"g\", 1)], \"g\": []}\n self.assertEqual(shortest_cost(g, \"s\", \"g\"), 4)\n def test_missing(self):\n self.assertIsNone(shortest_cost({\"s\": []}, \"s\", \"z\"))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_missing (test_solution.Test.test_missing) ... FAIL\ntest_path (test_solution.Test.test_path) ... FAIL\n\n======================================================================\nFAIL: test_missing (test_solution.Test.test_missing)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4tt_bkpa\\test_solution.py\", line 9, in test_missing\n self.assertIsNone(shortest_cost({\"s\": []}, \"s\", \"z\"))\n ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 is not None\n\n======================================================================\nFAIL: test_path (test_solution.Test.test_path)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4tt_bkpa\\test_solution.py\", line 7, in test_path\n self.assertEqual(shortest_cost(g, \"s\", \"g\"), 4)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 4\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import heapq\n\ndef shortest_cost(graph, start, goal):\n best = {start: 0}\n heap = [(0, start)]\n while heap:\n cost, node = heapq.heappop(heap)\n if cost != best.get(node, None):\n continue\n if node == goal:\n return cost\n for nxt, weight in graph.get(node, []):\n cand = cost + weight\n if cand < best.get(nxt, float(\"inf\")):\n best[nxt] = cand\n heapq.heappush(heap, (cand, nxt))\n return None", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_missing (test_solution.Test.test_missing) ... ok\ntest_path (test_solution.Test.test_path) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import heapq\n\nclass RunningMedian:\n def __init__(self):\n self.low = []\n self.high = []\n\n def add(self, x):\n if not self.low or x <= -self.low[0]:\n heapq.heappush(self.low, -x)\n else:\n heapq.heappush(self.high, x)\n if len(self.low) > len(self.high) + 1:\n heapq.heappush(self.high, -heapq.heappop(self.low))\n elif len(self.high) > len(self.low):\n heapq.heappush(self.low, -heapq.heappop(self.high))\n\n def median(self):\n if not self.low:\n raise ValueError(\"empty\")\n if len(self.low) > len(self.high):\n return float(-self.low[0])\n return (-self.low[0] + self.high[0]) / 2.0", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import heapq\n\nclass RunningMedian:\n    def __init__(self):\n        self.low = []\n        self.high = []\n\n    def add(self, x):\n        if not self.low or x <= -self.low[0]:\n            heapq.heappush(self.low, -x)\n        else:\n            heapq.heappush(self.high, x)\n        if len(self.low) > len(self.high) + 1:\n            heapq.heappush(self.high, -heapq.heappop(self.low))\n        elif len(self.high) > len(self.low):\n            heapq.heappush(self.low, -heapq.heappop(self.high))\n\n    def median(self):\n        if not self.low:\n            raise ValueError(\"empty\")\n        if len(self.low) > len(self.high):\n            return float(-self.low[0])\n        return (-self.low[0] + self.high[0]) / 2.0\n", "test_solution.py": "import unittest\nfrom solution import RunningMedian\n\nclass Test(unittest.TestCase):\n    def test_stream(self):\n        r = RunningMedian()\n        for x in [5, 2, 8, 1]:\n            r.add(x)\n        self.assertEqual(r.median(), 3.5)\n"}}, "topic": "data_structures"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-heap-median-ebe3df4f8fd3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.85, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 6.225}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "heap_median", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement class `RunningMedian` with `add(x)` and `median()` (mean of the\ntwo center values when the count is even). Values are numbers.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import heapq\n\nclass RunningMedian:\n def __init__(self):\n self.low = []\n self.high = []\n\n def add(self, x):\n if not self.low or x <= -self.low[0]:\n heapq.heappush(self.low, -x)\n else:\n heapq.heappush(self.high, x)\n if len(self.low) > len(self.high) + 1:\n heapq.heappush(self.high, -heapq.heappop(self.low))\n elif len(self.high) > len(self.low):\n heapq.heappush(self.low, -heapq.heappop(self.high))\n\n def median(self):\n if not self.low:\n raise ValueError(\"empty\")\n if len(self.low) > len(self.high):\n return float(-self.low[0])\n return (-self.low[0] + self.high[0]) / 2.0", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_stream (test_solution.Test.test_stream) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def parse_kv(text):\n result = {}\n for raw in text.splitlines():\n line = raw.strip()\n if not line or line.startswith(\"#\"):\n continue\n if \"=\" not in line:\n raise ValueError(line)\n key, value = line.split(\"=\", 1)\n result[key.strip()] = value.strip()\n return result", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def parse_kv(text):\n    result = {}\n    for raw in text.splitlines():\n        line = raw.strip()\n        if not line or line.startswith(\"#\"):\n            continue\n        if \"=\" not in line:\n            raise ValueError(line)\n        key, value = line.split(\"=\", 1)\n        result[key.strip()] = value.strip()\n    return result\n", "test_solution.py": "import unittest\nfrom solution import parse_kv\n\nclass Test(unittest.TestCase):\n    def test_parse(self):\n        text = \"# c\\nport = 80\\nhost = a=b\\nport = 8080\\n\"\n        self.assertEqual(parse_kv(text), {\"port\": \"8080\", \"host\": \"a=b\"})\n    def test_bad(self):\n        with self.assertRaises(ValueError):\n            parse_kv(\"oops\")\n"}}, "topic": "configuration"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-parse-kv-config-761c659cab58", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.575, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.05, "tests": 0.0, "total": 4.6000000000000005}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "parse_kv_config", "topic": "configuration"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `parse_kv(text)` for a tiny config language:\n- ignore blank lines and lines starting with `#`\n- remaining lines are `key = value` (value trimmed, may contain =)\n- duplicate keys: last wins\nReturn a dict. Raise ValueError on lines without `=`.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:26Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def parse_kv(text):\n result = {}\n for raw in text.splitlines():\n line = raw.strip()\n if not line or line.startswith(\"#\"):\n continue\n if \"=\" not in line:\n raise ValueError(line)\n key, value = line.split(\"=\", 1)\n result[key.strip()] = value.strip()\n return result", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_parse (test_solution.Test.test_parse) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def cmp_semver(a, b):\n def parts(s):\n bits = s.split(\".\")\n if len(bits) != 3 or not all(p.isdigit() for p in bits):\n raise ValueError(s)\n return tuple(int(p) for p in bits)\n left, right = parts(a), parts(b)\n return (left > right) - (left < right)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def cmp_semver(a, b):\n    def parts(s):\n        bits = s.split(\".\")\n        if len(bits) != 3 or not all(p.isdigit() for p in bits):\n            raise ValueError(s)\n        return tuple(int(p) for p in bits)\n    left, right = parts(a), parts(b)\n    return (left > right) - (left < right)\n", "test_solution.py": "import unittest\nfrom solution import cmp_semver\n\nclass Test(unittest.TestCase):\n    def test_cmp(self):\n        self.assertEqual(cmp_semver(\"1.2.0\", \"1.10.0\"), -1)\n        self.assertEqual(cmp_semver(\"2.0.0\", \"2.0.0\"), 0)\n        self.assertEqual(cmp_semver(\"1.0.1\", \"1.0.0\"), 1)\n"}}, "topic": "package_management"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-semver-core-cmp-af727ae91767", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 3.9250000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "semver_core_cmp", "topic": "package_management"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `cmp_semver(a, b)` comparing MAJOR.MINOR.PATCH strings (digits\nonly, no pre-release). Return -1, 0, or 1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def cmp_semver(a, b):\n def parts(s):\n bits = s.split(\".\")\n if len(bits) != 3 or not all(p.isdigit() for p in bits):\n raise ValueError(s)\n return tuple(int(p) for p in bits)\n left, right = parts(a), parts(b)\n return (left > right) - (left < right)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_cmp (test_solution.Test.test_cmp) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def cmp_semver(a, b):\n def parts(s):\n bits = s.split(\".\")\n if len(bits) != 3 or not all(p.isdigit() for p in bits):\n raise ValueError(s)\n return tuple(int(p) for p in bits)\n left, right = parts(a), parts(b)\n return (left > right) - (left < right)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_cmp (test_solution.Test.test_cmp) ... FAIL\n\n======================================================================\nFAIL: test_cmp (test_solution.Test.test_cmp)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ez7l14g8\\test_solution.py\", line 6, in test_cmp\n    self.assertEqual(cmp_semver(\"1.2.0\", \"1.10.0\"), -1)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != -1\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def cmp_semver(a, b):\n    return (a > b) - (a < b)\n", "test_solution.py": "import unittest\nfrom solution import cmp_semver\n\nclass Test(unittest.TestCase):\n    def test_cmp(self):\n        self.assertEqual(cmp_semver(\"1.2.0\", \"1.10.0\"), -1)\n        self.assertEqual(cmp_semver(\"2.0.0\", \"2.0.0\"), 0)\n        self.assertEqual(cmp_semver(\"1.0.1\", \"1.0.0\"), 1)\n"}}, "topic": "package_management"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-semver-core-cmp-753c78f38a4b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 2.95, "tests": 0.0, "total": 9.55}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_cmp (test_solution.Test.test_cmp) ... FAIL\n\n======================================================================\nFAIL: test_cmp (test_solution.Test.test_cmp)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ez7l14g8\\test_solution.py\", line 6, in test_cmp\n    self.assertEqual(cmp_semver(\"1.2.0\", \"1.10.0\"), -1)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != -1\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "semver_core_cmp", "tests_passed_after_fix": 1, "topic": "package_management"}, "natural_language": "en", "observations": ["Compares as strings so 1.10.0 < 1.2.0."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `cmp_semver(a, b)` comparing MAJOR.MINOR.PATCH strings (digits\nonly, no pre-release). Return -1, 0, or 1.\n\n--- solution.py (buggy) ---\ndef cmp_semver(a, b):\n return (a > b) - (a < b)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import cmp_semver\n\nclass Test(unittest.TestCase):\n def test_cmp(self):\n self.assertEqual(cmp_semver(\"1.2.0\", \"1.10.0\"), -1)\n self.assertEqual(cmp_semver(\"2.0.0\", \"2.0.0\"), 0)\n self.assertEqual(cmp_semver(\"1.0.1\", \"1.0.0\"), 1)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_cmp (test_solution.Test.test_cmp) ... FAIL\n\n======================================================================\nFAIL: test_cmp (test_solution.Test.test_cmp)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ez7l14g8\\test_solution.py\", line 6, in test_cmp\n self.assertEqual(cmp_semver(\"1.2.0\", \"1.10.0\"), -1)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != -1\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def cmp_semver(a, b):\n def parts(s):\n bits = s.split(\".\")\n if len(bits) != 3 or not all(p.isdigit() for p in bits):\n raise ValueError(s)\n return tuple(int(p) for p in bits)\n left, right = parts(a), parts(b)\n return (left > right) - (left < right)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_cmp (test_solution.Test.test_cmp) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def pins_ok(declared, locked):\n for name, minimum in declared.items():\n if name not in locked:\n return False\n if locked[name] < minimum:\n return False\n return True", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def pins_ok(declared, locked):\n    for name, minimum in declared.items():\n        if name not in locked:\n            return False\n        if locked[name] < minimum:\n            return False\n    return True\n", "test_solution.py": "import unittest\nfrom solution import pins_ok\n\nclass Test(unittest.TestCase):\n    def test_ok(self):\n        self.assertTrue(pins_ok({\"a\": (1, 2, 0)}, {\"a\": (1, 2, 3), \"b\": (0, 1, 0)}))\n    def test_missing(self):\n        self.assertFalse(pins_ok({\"a\": (1, 0, 0)}, {}))\n    def test_old(self):\n        self.assertFalse(pins_ok({\"a\": (2, 0, 0)}, {\"a\": (1, 9, 9)}))\n"}}, "topic": "dependency_resolution"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-dep-resolution-pins-c28ab4b294ab", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.95, "tests": 0.0, "total": 4.2749999999999995}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "dep_resolution_pins", "topic": "dependency_resolution"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `pins_ok(declared, locked)` where declared maps package ->\nminimum inclusive version tuple (major, minor, patch) and locked maps package\n-> installed version tuple. Every declared package must be present and\ninstalled >= minimum. Extra locked packages are allowed.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def pins_ok(declared, locked):\n for name, minimum in declared.items():\n if name not in locked:\n return False\n if locked[name] < minimum:\n return False\n return True", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_missing (test_solution.Test.test_missing) ... ok\ntest_ok (test_solution.Test.test_ok) ... ok\ntest_old (test_solution.Test.test_old) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def pins_ok(declared, locked):\n for name, minimum in declared.items():\n if name not in locked:\n return False\n if locked[name] < minimum:\n return False\n return True", "assumptions": [], "concept_id": "python.modules", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_missing (test_solution.Test.test_missing) ... ok\ntest_ok (test_solution.Test.test_ok) ... FAIL\ntest_old (test_solution.Test.test_old) ... ok\n\n======================================================================\nFAIL: test_ok (test_solution.Test.test_ok)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-70mezklv\\test_solution.py\", line 6, in test_ok\n    self.assertTrue(pins_ok({\"a\": (1, 2, 0)}, {\"a\": (1, 2, 3), \"b\": (0, 1, 0)}))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def pins_ok(declared, locked):\n    for name, minimum in declared.items():\n        if name not in locked:\n            return False\n        if locked[name] < minimum:\n            return False\n    return False\n", "test_solution.py": "import unittest\nfrom solution import pins_ok\n\nclass Test(unittest.TestCase):\n    def test_ok(self):\n        self.assertTrue(pins_ok({\"a\": (1, 2, 0)}, {\"a\": (1, 2, 3), \"b\": (0, 1, 0)}))\n    def test_missing(self):\n        self.assertFalse(pins_ok({\"a\": (1, 0, 0)}, {}))\n    def test_old(self):\n        self.assertFalse(pins_ok({\"a\": (2, 0, 0)}, {\"a\": (1, 9, 9)}))\n"}}, "topic": "dependency_resolution"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-dep-resolution-pins-207430cc282d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.774999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_missing (test_solution.Test.test_missing) ... ok\ntest_ok (test_solution.Test.test_ok) ... FAIL\ntest_old (test_solution.Test.test_old) ... ok\n\n======================================================================\nFAIL: test_ok (test_solution.Test.test_ok)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-70mezklv\\test_solution.py\", line 6, in test_ok\n    self.assertTrue(pins_ok({\"a\": (1, 2, 0)}, {\"a\": (1, 2, 3), \"b\": (0, 1, 0)}))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "dep_resolution_pins", "tests_passed_after_fix": 3, "topic": "dependency_resolution"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `pins_ok(declared, locked)` where declared maps package ->\nminimum inclusive version tuple (major, minor, patch) and locked maps package\n-> installed version tuple. Every declared package must be present and\ninstalled >= minimum. Extra locked packages are allowed.\n\n--- solution.py (buggy) ---\ndef pins_ok(declared, locked):\n for name, minimum in declared.items():\n if name not in locked:\n return False\n if locked[name] < minimum:\n return False\n return False\n\n--- test_solution.py ---\nimport unittest\nfrom solution import pins_ok\n\nclass Test(unittest.TestCase):\n def test_ok(self):\n self.assertTrue(pins_ok({\"a\": (1, 2, 0)}, {\"a\": (1, 2, 3), \"b\": (0, 1, 0)}))\n def test_missing(self):\n self.assertFalse(pins_ok({\"a\": (1, 0, 0)}, {}))\n def test_old(self):\n self.assertFalse(pins_ok({\"a\": (2, 0, 0)}, {\"a\": (1, 9, 9)}))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_missing (test_solution.Test.test_missing) ... ok\ntest_ok (test_solution.Test.test_ok) ... FAIL\ntest_old (test_solution.Test.test_old) ... ok\n\n======================================================================\nFAIL: test_ok (test_solution.Test.test_ok)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-70mezklv\\test_solution.py\", line 6, in test_ok\n self.assertTrue(pins_ok({\"a\": (1, 2, 0)}, {\"a\": (1, 2, 3), \"b\": (0, 1, 0)}))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def pins_ok(declared, locked):\n for name, minimum in declared.items():\n if name not in locked:\n return False\n if locked[name] < minimum:\n return False\n return True", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_missing (test_solution.Test.test_missing) ... ok\ntest_ok (test_solution.Test.test_ok) ... ok\ntest_old (test_solution.Test.test_old) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "import re\n\ndef quote_ident(name):\n if not re.fullmatch(r\"[A-Za-z_][A-Za-z0-9_]*\", name):\n raise ValueError(\"invalid identifier\")\n return '\"' + name.replace('\"', '\"\"') + '\"'", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\n\ndef quote_ident(name):\n    if not re.fullmatch(r\"[A-Za-z_][A-Za-z0-9_]*\", name):\n        raise ValueError(\"invalid identifier\")\n    return '\"' + name.replace('\"', '\"\"') + '\"'\n", "test_solution.py": "import unittest\nfrom solution import quote_ident\n\nclass Test(unittest.TestCase):\n    def test_ok(self):\n        self.assertEqual(quote_ident(\"user_id\"), '\"user_id\"')\n    def test_reject(self):\n        with self.assertRaises(ValueError):\n            quote_ident(\"user-id\")\n        with self.assertRaises(ValueError):\n            quote_ident(\"1x\")\n"}}, "topic": "databases"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-sql-ident-quote-d0a22efbb77f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 6.625}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "sql_ident_quote", "topic": "databases"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `quote_ident(name)` for a conservative SQL identifier:\naccept only `[A-Za-z_][A-Za-z0-9_]*` and wrap in double quotes with internal\nquotes doubled. Raise ValueError otherwise. This is defensive quoting, not a\nparser for arbitrary SQL.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\n\ndef quote_ident(name):\n if not re.fullmatch(r\"[A-Za-z_][A-Za-z0-9_]*\", name):\n raise ValueError(\"invalid identifier\")\n return '\"' + name.replace('\"', '\"\"') + '\"'", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ok (test_solution.Test.test_ok) ... ok\ntest_reject (test_solution.Test.test_reject) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import re\n\ndef quote_ident(name):\n if not re.fullmatch(r\"[A-Za-z_][A-Za-z0-9_]*\", name):\n raise ValueError(\"invalid identifier\")\n return '\"' + name.replace('\"', '\"\"') + '\"'", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_ok (test_solution.Test.test_ok) ... ERROR\ntest_reject (test_solution.Test.test_reject) ... ok\n\n======================================================================\nERROR: test_ok (test_solution.Test.test_ok)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-o5h0j4in\\test_solution.py\", line 6, in test_ok\n    self.assertEqual(quote_ident(\"user_id\"), '\"user_id\"')\n                     ~~~~~~~~~~~^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-o5h0j4in\\solution.py\", line 6, in quote_ident\n    return '\"' - name.replace('\"', '\"\"') + '\"'\n           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "import re\n\ndef quote_ident(name):\n    if not re.fullmatch(r\"[A-Za-z_][A-Za-z0-9_]*\", name):\n        raise ValueError(\"invalid identifier\")\n    return '\"' - name.replace('\"', '\"\"') + '\"'\n", "test_solution.py": "import unittest\nfrom solution import quote_ident\n\nclass Test(unittest.TestCase):\n    def test_ok(self):\n        self.assertEqual(quote_ident(\"user_id\"), '\"user_id\"')\n    def test_reject(self):\n        with self.assertRaises(ValueError):\n            quote_ident(\"user-id\")\n        with self.assertRaises(ValueError):\n            quote_ident(\"1x\")\n"}}, "topic": "databases"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-sql-ident-quote-641bd19a2c68", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.774999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 0, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_ok (test_solution.Test.test_ok) ... ERROR\ntest_reject (test_solution.Test.test_reject) ... ok\n\n======================================================================\nERROR: test_ok (test_solution.Test.test_ok)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-o5h0j4in\\test_solution.py\", line 6, in test_ok\n    self.assertEqual(quote_ident(\"user_id\"), '\"user_id\"')\n                     ~~~~~~~~~~~^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-o5h0j4in\\solution.py\", line 6, in quote_ident\n    return '\"' - name.replace('\"', '\"\"') + '\"'\n           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "sql_ident_quote", "tests_passed_after_fix": 2, "topic": "databases"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `quote_ident(name)` for a conservative SQL identifier:\naccept only `[A-Za-z_][A-Za-z0-9_]*` and wrap in double quotes with internal\nquotes doubled. Raise ValueError otherwise. This is defensive quoting, not a\nparser for arbitrary SQL.\n\n--- solution.py (buggy) ---\nimport re\n\ndef quote_ident(name):\n if not re.fullmatch(r\"[A-Za-z_][A-Za-z0-9_]*\", name):\n raise ValueError(\"invalid identifier\")\n return '\"' - name.replace('\"', '\"\"') + '\"'\n\n--- test_solution.py ---\nimport unittest\nfrom solution import quote_ident\n\nclass Test(unittest.TestCase):\n def test_ok(self):\n self.assertEqual(quote_ident(\"user_id\"), '\"user_id\"')\n def test_reject(self):\n with self.assertRaises(ValueError):\n quote_ident(\"user-id\")\n with self.assertRaises(ValueError):\n quote_ident(\"1x\")\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_ok (test_solution.Test.test_ok) ... ERROR\ntest_reject (test_solution.Test.test_reject) ... ok\n\n======================================================================\nERROR: test_ok (test_solution.Test.test_ok)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-o5h0j4in\\test_solution.py\", line 6, in test_ok\n self.assertEqual(quote_ident(\"user_id\"), '\"user_id\"')\n ~~~~~~~~~~~^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-o5h0j4in\\solution.py\", line 6, in quote_ident\n return '\"' - name.replace('\"', '\"\"') + '\"'\n ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (errors=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\n\ndef quote_ident(name):\n if not re.fullmatch(r\"[A-Za-z_][A-Za-z0-9_]*\", name):\n raise ValueError(\"invalid identifier\")\n return '\"' + name.replace('\"', '\"\"') + '\"'", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ok (test_solution.Test.test_ok) ... ok\ntest_reject (test_solution.Test.test_reject) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import re\n\ndef safe_select_by_id(conn, table, row_id):\n if not re.fullmatch(r\"[a-z_]+\", table):\n raise ValueError(\"table\")\n sql = f'SELECT * FROM \"{table}\" WHERE id = ?'\n return list(conn.execute(sql, (row_id,)))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\n\ndef safe_select_by_id(conn, table, row_id):\n    if not re.fullmatch(r\"[a-z_]+\", table):\n        raise ValueError(\"table\")\n    sql = f'SELECT * FROM \"{table}\" WHERE id = ?'\n    return list(conn.execute(sql, (row_id,)))\n", "test_solution.py": "import sqlite3\nimport unittest\nfrom solution import safe_select_by_id\n\nclass Test(unittest.TestCase):\n    def setUp(self):\n        self.conn = sqlite3.connect(\":memory:\")\n        self.conn.execute(\"CREATE TABLE items (id INTEGER, name TEXT)\")\n        self.conn.execute(\"INSERT INTO items VALUES (1, 'a'), (2, 'b')\")\n\n    def test_param(self):\n        rows = safe_select_by_id(self.conn, \"items\", 2)\n        self.assertEqual(rows, [(2, \"b\")])\n\n    def test_injection_value(self):\n        rows = safe_select_by_id(self.conn, \"items\", \"2 OR 1=1\")\n        self.assertEqual(rows, [])\n\n    def test_bad_table(self):\n        with self.assertRaises(ValueError):\n            safe_select_by_id(self.conn, \"items;drop\", 1)\n"}}, "topic": "defensive_security"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-parameterized-filter-2992f1833ac8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.75, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 5.35}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "parameterized_filter", "topic": "defensive_security"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `safe_select_by_id(conn, table, row_id)` using sqlite3.\n`table` must match `[a-z_]+`. Execute a parameterized query\n`SELECT * FROM {table} WHERE id = ?` and return the list of rows.\nNever interpolate `row_id` into the SQL string.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\n\ndef safe_select_by_id(conn, table, row_id):\n if not re.fullmatch(r\"[a-z_]+\", table):\n raise ValueError(\"table\")\n sql = f'SELECT * FROM \"{table}\" WHERE id = ?'\n return list(conn.execute(sql, (row_id,)))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad_table (test_solution.Test.test_bad_table) ... ok\ntest_injection_value (test_solution.Test.test_injection_value) ... ok\ntest_param (test_solution.Test.test_param) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "from pathlib import Path\n\ndef resolve_under(root, relative):\n base = Path(root).resolve()\n target = (base / relative).resolve()\n try:\n target.relative_to(base)\n except ValueError as exc:\n raise ValueError(\"escape\") from exc\n return str(target)", "assumptions": [], "concept_id": "python.exceptions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from pathlib import Path\n\ndef resolve_under(root, relative):\n    base = Path(root).resolve()\n    target = (base / relative).resolve()\n    try:\n        target.relative_to(base)\n    except ValueError as exc:\n        raise ValueError(\"escape\") from exc\n    return str(target)\n", "test_solution.py": "import tempfile\nimport unittest\nfrom pathlib import Path\nfrom solution import resolve_under\n\nclass Test(unittest.TestCase):\n    def test_inside(self):\n        with tempfile.TemporaryDirectory() as td:\n            p = resolve_under(td, \"a/b.txt\")\n            self.assertTrue(p.startswith(str(Path(td).resolve())))\n    def test_escape(self):\n        with tempfile.TemporaryDirectory() as td:\n            with self.assertRaises(ValueError):\n                resolve_under(td, \"../secret\")\n"}}, "topic": "defensive_security"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-path-confine-9bfc484ac11f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.65, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.7, "tests": 0.0, "total": 4.199999999999999}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "path_confine", "topic": "defensive_security"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `resolve_under(root, relative)` that joins `relative` to `root`\nand returns the resolved path only if it stays inside `root`. Reject `..`\nescapes. Use pathlib. Raise ValueError on escape.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from pathlib import Path\n\ndef resolve_under(root, relative):\n base = Path(root).resolve()\n target = (base / relative).resolve()\n try:\n target.relative_to(base)\n except ValueError as exc:\n raise ValueError(\"escape\") from exc\n return str(target)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_escape (test_solution.Test.test_escape) ... ok\ntest_inside (test_solution.Test.test_inside) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.004s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import ipaddress\n\ndef ipv4_in_cidr(ip, cidr):\n return ipaddress.IPv4Address(ip) in ipaddress.IPv4Network(cidr, strict=False)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import ipaddress\n\ndef ipv4_in_cidr(ip, cidr):\n    return ipaddress.IPv4Address(ip) in ipaddress.IPv4Network(cidr, strict=False)\n", "test_solution.py": "import unittest\nfrom solution import ipv4_in_cidr\n\nclass Test(unittest.TestCase):\n    def test_in(self):\n        self.assertTrue(ipv4_in_cidr(\"10.1.2.3\", \"10.0.0.0/8\"))\n    def test_out(self):\n        self.assertFalse(ipv4_in_cidr(\"11.0.0.1\", \"10.0.0.0/8\"))\n    def test_exact(self):\n        self.assertTrue(ipv4_in_cidr(\"192.0.2.1\", \"192.0.2.1/32\"))\n"}}, "topic": "networking"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-cidr-contains-880e214734b6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.675, "tests": 0.0, "total": 3.8000000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "cidr_contains", "topic": "networking"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `ipv4_in_cidr(ip, cidr)` where ip is dotted IPv4 and cidr is\nlike `10.0.0.0/8`. Return True iff the address is in the prefix. No extra\nlibraries beyond stdlib.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import ipaddress\n\ndef ipv4_in_cidr(ip, cidr):\n return ipaddress.IPv4Address(ip) in ipaddress.IPv4Network(cidr, strict=False)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_exact (test_solution.Test.test_exact) ... ok\ntest_in (test_solution.Test.test_in) ... ok\ntest_out (test_solution.Test.test_out) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def fcfs_completion(jobs):\n time = 0\n done = []\n for arrival, burst in jobs:\n time = max(time, arrival) + burst\n done.append(time)\n return done", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def fcfs_completion(jobs):\n    time = 0\n    done = []\n    for arrival, burst in jobs:\n        time = max(time, arrival) + burst\n        done.append(time)\n    return done\n", "test_solution.py": "import unittest\nfrom solution import fcfs_completion\n\nclass Test(unittest.TestCase):\n    def test_idle(self):\n        self.assertEqual(fcfs_completion([(0, 3), (5, 2)]), [3, 7])\n    def test_queue(self):\n        self.assertEqual(fcfs_completion([(0, 2), (1, 2)]), [2, 4])\n"}}, "topic": "operating_systems"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-fcfs-finish-72e6ead16506", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.0, "tests": 0.0, "total": 4.275}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "fcfs_finish", "topic": "operating_systems"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `fcfs_completion(jobs)` where each job is (arrival, burst) and\njobs are already ordered by arrival time (ties keep given order). Return a list\nof completion times in the same order. The CPU is idle until the next arrival\nif needed.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def fcfs_completion(jobs):\n time = 0\n done = []\n for arrival, burst in jobs:\n time = max(time, arrival) + burst\n done.append(time)\n return done", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_idle (test_solution.Test.test_idle) ... ok\ntest_queue (test_solution.Test.test_queue) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def fcfs_completion(jobs):\n time = 0\n done = []\n for arrival, burst in jobs:\n time = max(time, arrival) + burst\n done.append(time)\n return done", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_idle (test_solution.Test.test_idle) ... FAIL\ntest_queue (test_solution.Test.test_queue) ... FAIL\n\n======================================================================\nFAIL: test_idle (test_solution.Test.test_idle)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0uak84hz\\test_solution.py\", line 6, in test_idle\n    self.assertEqual(fcfs_completion([(0, 3), (5, 2)]), [3, 7])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [-3, 3] != [3, 7]\n\nFirst differing element 0:\n-3\n3\n\n- [-3, 3]\n?  -   ^\n\n+ [3, 7]\n?     ^\n\n\n======================================================================\nFAIL: test_queue (test_solution.Test.test_queue)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0uak84hz\\test_solution.py\", line 8, in test_queue\n    self.assertEqual(fcfs_completion([(0, 2), (1, 2)]), [2, 4])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [-2, -1] != [2, 4]\n\nFirst differing element 0:\n-2\n2\n\n- [-2, -1]\n+ [2, 4]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "def fcfs_completion(jobs):\n    time = 0\n    done = []\n    for arrival, burst in jobs:\n        time = max(time, arrival) - burst\n        done.append(time)\n    return done\n", "test_solution.py": "import unittest\nfrom solution import fcfs_completion\n\nclass Test(unittest.TestCase):\n    def test_idle(self):\n        self.assertEqual(fcfs_completion([(0, 3), (5, 2)]), [3, 7])\n    def test_queue(self):\n        self.assertEqual(fcfs_completion([(0, 2), (1, 2)]), [2, 4])\n"}}, "topic": "operating_systems"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-fcfs-finish-66f11bf0a1aa", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.725}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_idle (test_solution.Test.test_idle) ... FAIL\ntest_queue (test_solution.Test.test_queue) ... FAIL\n\n======================================================================\nFAIL: test_idle (test_solution.Test.test_idle)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0uak84hz\\test_solution.py\", line 6, in test_idle\n    self.assertEqual(fcfs_completion([(0, 3), (5, 2)]), [3, 7])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [-3, 3] != [3, 7]\n\nFirst differing element 0:\n-3\n3\n\n- [-3, 3]\n?  -   ^\n\n+ [3, 7]\n?     ^\n\n\n======================================================================\nFAIL: test_queue (test_solution.Test.test_queue)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0uak84hz\\test_solution.py\", line 8, in test_queue\n    self.assertEqual(fcfs_completion([(0, 2), (1, 2)]), [2, 4])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [-2, -1] != [2, 4]\n\nFirst differing element 0:\n-2\n2\n\n- [-2, -1]\n+ [2, 4]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "fcfs_finish", "tests_passed_after_fix": 2, "topic": "operating_systems"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `fcfs_completion(jobs)` where each job is (arrival, burst) and\njobs are already ordered by arrival time (ties keep given order). Return a list\nof completion times in the same order. The CPU is idle until the next arrival\nif needed.\n\n--- solution.py (buggy) ---\ndef fcfs_completion(jobs):\n time = 0\n done = []\n for arrival, burst in jobs:\n time = max(time, arrival) - burst\n done.append(time)\n return done\n\n--- test_solution.py ---\nimport unittest\nfrom solution import fcfs_completion\n\nclass Test(unittest.TestCase):\n def test_idle(self):\n self.assertEqual(fcfs_completion([(0, 3), (5, 2)]), [3, 7])\n def test_queue(self):\n self.assertEqual(fcfs_completion([(0, 2), (1, 2)]), [2, 4])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_idle (test_solution.Test.test_idle) ... FAIL\ntest_queue (test_solution.Test.test_queue) ... FAIL\n\n======================================================================\nFAIL: test_idle (test_solution.Test.test_idle)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0uak84hz\\test_solution.py\", line 6, in test_idle\n self.assertEqual(fcfs_completion([(0, 3), (5, 2)]), [3, 7])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [-3, 3] != [3, 7]\n\nFirst differing element 0:\n-3\n3\n\n- [-3, 3]\n? - ^\n\n+ [3, 7]\n? ^\n\n\n======================================================================\nFAIL: test_queue (test_solution.Test.test_queue)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0uak84hz\\test_solution.py\", line 8, in test_queue\n self.assertEqual(fcfs_completion([(0, 2), (1, 2)]), [2, 4])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [-2, -1] != [2, 4]\n\nFirst differing element 0:\n-2\n2\n\n- [-2, -1]\n+ [2, 4]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def fcfs_completion(jobs):\n time = 0\n done = []\n for arrival, burst in jobs:\n time = max(time, arrival) + burst\n done.append(time)\n return done", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_idle (test_solution.Test.test_idle) ... ok\ntest_queue (test_solution.Test.test_queue) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "from collections import deque\n\ndef rr_finish(bursts, quantum):\n remaining = list(bursts)\n finish = [None] * len(bursts)\n q = deque(range(len(bursts)))\n t = 0\n while q:\n i = q.popleft()\n run = min(quantum, remaining[i])\n remaining[i] -= run\n t += run\n if remaining[i] == 0:\n finish[i] = t\n else:\n q.append(i)\n return finish", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import deque\n\ndef rr_finish(bursts, quantum):\n    remaining = list(bursts)\n    finish = [None] * len(bursts)\n    q = deque(range(len(bursts)))\n    t = 0\n    while q:\n        i = q.popleft()\n        run = min(quantum, remaining[i])\n        remaining[i] -= run\n        t += run\n        if remaining[i] == 0:\n            finish[i] = t\n        else:\n            q.append(i)\n    return finish\n", "test_solution.py": "import unittest\nfrom solution import rr_finish\n\nclass Test(unittest.TestCase):\n    def test_rr(self):\n        self.assertEqual(rr_finish([5, 3, 1], 2), [9, 8, 5])\n"}}, "topic": "operating_systems"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-round-robin-trace-992838c315ea", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 3.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 7.8}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "round_robin_trace", "topic": "operating_systems"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `rr_finish(bursts, quantum)` for processes all arriving at 0,\nindexed 0..n-1, using a FIFO ready queue. Return completion times list.\nIgnore context-switch cost.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import deque\n\ndef rr_finish(bursts, quantum):\n remaining = list(bursts)\n finish = [None] * len(bursts)\n q = deque(range(len(bursts)))\n t = 0\n while q:\n i = q.popleft()\n run = min(quantum, remaining[i])\n remaining[i] -= run\n t += run\n if remaining[i] == 0:\n finish[i] = t\n else:\n q.append(i)\n return finish", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_rr (test_solution.Test.test_rr) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import deque\n\ndef rr_finish(bursts, quantum):\n remaining = list(bursts)\n finish = [None] * len(bursts)\n q = deque(range(len(bursts)))\n t = 0\n while q:\n i = q.popleft()\n run = min(quantum, remaining[i])\n remaining[i] -= run\n t += run\n if remaining[i] == 0:\n finish[i] = t\n else:\n q.append(i)\n return finish", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "\ntest_rr (test_solution.Test.test_rr) ... "}, "language": "python", "repository": {"files": {"solution.py": "from collections import deque\n\ndef rr_finish(bursts, quantum):\n    remaining = list(bursts)\n    finish = [None] * len(bursts)\n    q = deque(range(len(bursts)))\n    t = 0\n    while q:\n        i = q.popleft()\n        run = min(quantum, remaining[i])\n        remaining[i] -= run\n        t += run\n        if remaining[i] != 0:\n            finish[i] = t\n        else:\n            q.append(i)\n    return finish\n", "test_solution.py": "import unittest\nfrom solution import rr_finish\n\nclass Test(unittest.TestCase):\n    def test_rr(self):\n        self.assertEqual(rr_finish([5, 3, 1], 2), [9, 8, 5])\n"}}, "topic": "operating_systems"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-round-robin-trace-426b74f925fc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 3.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 2.9, "tests": 0.0, "total": 12.825}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {}, "timed_out": true}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_rr (test_solution.Test.test_rr) ... ", "stdout": "", "tests_failed": null, "tests_passed": null}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "round_robin_trace", "tests_passed_after_fix": 1, "topic": "operating_systems"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `rr_finish(bursts, quantum)` for processes all arriving at 0,\nindexed 0..n-1, using a FIFO ready queue. Return completion times list.\nIgnore context-switch cost.\n\n--- solution.py (buggy) ---\nfrom collections import deque\n\ndef rr_finish(bursts, quantum):\n remaining = list(bursts)\n finish = [None] * len(bursts)\n q = deque(range(len(bursts)))\n t = 0\n while q:\n i = q.popleft()\n run = min(quantum, remaining[i])\n remaining[i] -= run\n t += run\n if remaining[i] != 0:\n finish[i] = t\n else:\n q.append(i)\n return finish\n\n--- test_solution.py ---\nimport unittest\nfrom solution import rr_finish\n\nclass Test(unittest.TestCase):\n def test_rr(self):\n self.assertEqual(rr_finish([5, 3, 1], 2), [9, 8, 5])\n\n--- failure ---\n\ntest_rr (test_solution.Test.test_rr) ...", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:27Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import deque\n\ndef rr_finish(bursts, quantum):\n remaining = list(bursts)\n finish = [None] * len(bursts)\n q = deque(range(len(bursts)))\n t = 0\n while q:\n i = q.popleft()\n run = min(quantum, remaining[i])\n remaining[i] -= run\n t += run\n if remaining[i] == 0:\n finish[i] = t\n else:\n q.append(i)\n return finish", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_rr (test_solution.Test.test_rr) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def lru_faults(pages, frames):\n slot = []\n used = []\n faults = 0\n for page in pages:\n if page in slot:\n used.remove(page)\n used.append(page)\n continue\n faults += 1\n if len(slot) < frames:\n slot.append(page)\n else:\n victim = used.pop(0)\n idx = slot.index(victim)\n slot[idx] = page\n used.append(page)\n return faults", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def lru_faults(pages, frames):\n    slot = []\n    used = []\n    faults = 0\n    for page in pages:\n        if page in slot:\n            used.remove(page)\n            used.append(page)\n            continue\n        faults += 1\n        if len(slot) < frames:\n            slot.append(page)\n        else:\n            victim = used.pop(0)\n            idx = slot.index(victim)\n            slot[idx] = page\n        used.append(page)\n    return faults\n", "test_solution.py": "import unittest\nfrom solution import lru_faults\n\nclass Test(unittest.TestCase):\n    def test_classic(self):\n        self.assertEqual(lru_faults([1, 2, 3, 1, 4, 2], 3), 5)\n"}}, "topic": "operating_systems"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-lru-page-faults-e1513d15e836", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.65, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 3.9}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "lru_page_faults", "topic": "operating_systems"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `lru_faults(pages, frames)` counting page faults with LRU\nreplacement among `frames` slots. Empty frames fill first.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:39Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def lru_faults(pages, frames):\n slot = []\n used = []\n faults = 0\n for page in pages:\n if page in slot:\n used.remove(page)\n used.append(page)\n continue\n faults += 1\n if len(slot) < frames:\n slot.append(page)\n else:\n victim = used.pop(0)\n idx = slot.index(victim)\n slot[idx] = page\n used.append(page)\n return faults", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_classic (test_solution.Test.test_classic) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def is_safe(available, allocation, need):\n work = list(available)\n finish = [False] * len(allocation)\n while True:\n progressed = False\n for i, done in enumerate(finish):\n if done:\n continue\n if all(need[i][j] <= work[j] for j in range(len(work))):\n for j in range(len(work)):\n work[j] += allocation[i][j]\n finish[i] = True\n progressed = True\n if not progressed:\n break\n return all(finish)", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def is_safe(available, allocation, need):\n    work = list(available)\n    finish = [False] * len(allocation)\n    while True:\n        progressed = False\n        for i, done in enumerate(finish):\n            if done:\n                continue\n            if all(need[i][j] <= work[j] for j in range(len(work))):\n                for j in range(len(work)):\n                    work[j] += allocation[i][j]\n                finish[i] = True\n                progressed = True\n        if not progressed:\n            break\n    return all(finish)\n", "test_solution.py": "import unittest\nfrom solution import is_safe\n\nclass Test(unittest.TestCase):\n    def test_safe(self):\n        self.assertTrue(is_safe([3], [[0], [1], [1]], [[1], [0], [2]]))\n    def test_unsafe(self):\n        self.assertFalse(is_safe([0], [[1], [1]], [[1], [1]]))\n"}}, "topic": "operating_systems"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-banker-safe-3b58e6d2a848", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.65, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.675000000000001}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "banker_safe", "topic": "operating_systems"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `is_safe(available, allocation, need)` for the Banker's algorithm\nsafety check. `available` is a list of resource counts. `allocation` and `need`\nare lists of per-process lists. Return True iff a safe sequence exists.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:39Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def is_safe(available, allocation, need):\n work = list(available)\n finish = [False] * len(allocation)\n while True:\n progressed = False\n for i, done in enumerate(finish):\n if done:\n continue\n if all(need[i][j] <= work[j] for j in range(len(work))):\n for j in range(len(work)):\n work[j] += allocation[i][j]\n finish[i] = True\n progressed = True\n if not progressed:\n break\n return all(finish)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_safe (test_solution.Test.test_safe) ... ok\ntest_unsafe (test_solution.Test.test_unsafe) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "class TokenBucket:\n def __init__(self, rate, burst):\n self.rate = rate\n self.burst = burst\n self.tokens = float(burst)\n self.t = 0.0\n\n def allow(self, time, cost=1):\n if time < self.t:\n raise ValueError(\"time\")\n self.tokens = min(self.burst, self.tokens + (time - self.t) * self.rate)\n self.t = time\n if self.tokens >= cost:\n self.tokens -= cost\n return True\n return False", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "class TokenBucket:\n    def __init__(self, rate, burst):\n        self.rate = rate\n        self.burst = burst\n        self.tokens = float(burst)\n        self.t = 0.0\n\n    def allow(self, time, cost=1):\n        if time < self.t:\n            raise ValueError(\"time\")\n        self.tokens = min(self.burst, self.tokens + (time - self.t) * self.rate)\n        self.t = time\n        if self.tokens >= cost:\n            self.tokens -= cost\n            return True\n        return False\n", "test_solution.py": "import unittest\nfrom solution import TokenBucket\n\nclass Test(unittest.TestCase):\n    def test_burst_then_refill(self):\n        b = TokenBucket(1.0, 2)\n        self.assertTrue(b.allow(0))\n        self.assertTrue(b.allow(0))\n        self.assertFalse(b.allow(0))\n        self.assertTrue(b.allow(1.0))\n"}}, "topic": "networking"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-token-bucket-f0a6eaa2b164", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.775, "tests": 0.0, "total": 5.2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "token_bucket", "topic": "networking"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement class `TokenBucket(rate, burst)` with `allow(time, cost=1)`.\n`rate` is tokens per time unit, `burst` is max tokens. Start full at t=0.\n`time` is non-decreasing. Return True if the request is admitted.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "class TokenBucket:\n def __init__(self, rate, burst):\n self.rate = rate\n self.burst = burst\n self.tokens = float(burst)\n self.t = 0.0\n\n def allow(self, time, cost=1):\n if time < self.t:\n raise ValueError(\"time\")\n self.tokens = min(self.burst, self.tokens + (time - self.t) * self.rate)\n self.t = time\n if self.tokens >= cost:\n self.tokens -= cost\n return True\n return False", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_burst_then_refill (test_solution.Test.test_burst_then_refill) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "class TokenBucket:\n def __init__(self, rate, burst):\n self.rate = rate\n self.burst = burst\n self.tokens = float(burst)\n self.t = 0.0\n\n def allow(self, time, cost=1):\n if time < self.t:\n raise ValueError(\"time\")\n self.tokens = min(self.burst, self.tokens + (time - self.t) * self.rate)\n self.t = time\n if self.tokens >= cost:\n self.tokens -= cost\n return True\n return False", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_burst_then_refill (test_solution.Test.test_burst_then_refill) ... FAIL\n\n======================================================================\nFAIL: test_burst_then_refill (test_solution.Test.test_burst_then_refill)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xgf9vhaq\\test_solution.py\", line 7, in test_burst_then_refill\n    self.assertTrue(b.allow(0))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "class TokenBucket:\n    def __init__(self, rate, burst):\n        self.rate = rate\n        self.burst = burst\n        self.tokens = float(burst)\n        self.t = 0.0\n\n    def allow(self, time, cost=1):\n        if time < self.t:\n            raise ValueError(\"time\")\n        self.tokens = min(self.burst, self.tokens + (time - self.t) * self.rate)\n        self.t = time\n        if self.tokens >= cost:\n            self.tokens -= cost\n            return False\n        return False\n", "test_solution.py": "import unittest\nfrom solution import TokenBucket\n\nclass Test(unittest.TestCase):\n    def test_burst_then_refill(self):\n        b = TokenBucket(1.0, 2)\n        self.assertTrue(b.allow(0))\n        self.assertTrue(b.allow(0))\n        self.assertFalse(b.allow(0))\n        self.assertTrue(b.allow(1.0))\n"}}, "topic": "networking"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-token-bucket-32b0becb1436", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.0}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_burst_then_refill (test_solution.Test.test_burst_then_refill) ... FAIL\n\n======================================================================\nFAIL: test_burst_then_refill (test_solution.Test.test_burst_then_refill)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xgf9vhaq\\test_solution.py\", line 7, in test_burst_then_refill\n    self.assertTrue(b.allow(0))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "token_bucket", "tests_passed_after_fix": 1, "topic": "networking"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement class `TokenBucket(rate, burst)` with `allow(time, cost=1)`.\n`rate` is tokens per time unit, `burst` is max tokens. Start full at t=0.\n`time` is non-decreasing. Return True if the request is admitted.\n\n--- solution.py (buggy) ---\nclass TokenBucket:\n def __init__(self, rate, burst):\n self.rate = rate\n self.burst = burst\n self.tokens = float(burst)\n self.t = 0.0\n\n def allow(self, time, cost=1):\n if time < self.t:\n raise ValueError(\"time\")\n self.tokens = min(self.burst, self.tokens + (time - self.t) * self.rate)\n self.t = time\n if self.tokens >= cost:\n self.tokens -= cost\n return False\n return False\n\n--- test_solution.py ---\nimport unittest\nfrom solution import TokenBucket\n\nclass Test(unittest.TestCase):\n def test_burst_then_refill(self):\n b = TokenBucket(1.0, 2)\n self.assertTrue(b.allow(0))\n self.assertTrue(b.allow(0))\n self.assertFalse(b.allow(0))\n self.assertTrue(b.allow(1.0))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_burst_then_refill (test_solution.Test.test_burst_then_refill) ... FAIL\n\n======================================================================\nFAIL: test_burst_then_refill (test_solution.Test.test_burst_then_refill)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xgf9vhaq\\test_solution.py\", line 7, in test_burst_then_refill\n self.assertTrue(b.allow(0))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "class TokenBucket:\n def __init__(self, rate, burst):\n self.rate = rate\n self.burst = burst\n self.tokens = float(burst)\n self.t = 0.0\n\n def allow(self, time, cost=1):\n if time < self.t:\n raise ValueError(\"time\")\n self.tokens = min(self.burst, self.tokens + (time - self.t) * self.rate)\n self.t = time\n if self.tokens >= cost:\n self.tokens -= cost\n return True\n return False", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_burst_then_refill (test_solution.Test.test_burst_then_refill) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def missing_required(schema, payload):\n types = {\"string\": str, \"number\": (int, float), \"boolean\": bool}\n bad = []\n for name in schema.get(\"required\", []):\n if name not in payload:\n bad.append(name)\n continue\n declared = schema[\"properties\"][name][\"type\"]\n if declared == \"number\" and isinstance(payload[name], bool):\n bad.append(name)\n continue\n if not isinstance(payload[name], types[declared]):\n bad.append(name)\n return sorted(bad)", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def missing_required(schema, payload):\n    types = {\"string\": str, \"number\": (int, float), \"boolean\": bool}\n    bad = []\n    for name in schema.get(\"required\", []):\n        if name not in payload:\n            bad.append(name)\n            continue\n        declared = schema[\"properties\"][name][\"type\"]\n        if declared == \"number\" and isinstance(payload[name], bool):\n            bad.append(name)\n            continue\n        if not isinstance(payload[name], types[declared]):\n            bad.append(name)\n    return sorted(bad)\n", "test_solution.py": "import unittest\nfrom solution import missing_required\n\nclass Test(unittest.TestCase):\n    def test_types(self):\n        schema = {\n            \"required\": [\"id\", \"ok\"],\n            \"properties\": {\"id\": {\"type\": \"number\"}, \"ok\": {\"type\": \"boolean\"}},\n        }\n        self.assertEqual(missing_required(schema, {\"id\": True, \"ok\": True}), [\"id\"])\n        self.assertEqual(missing_required(schema, {\"id\": 1, \"ok\": True}), [])\n"}}, "topic": "api_design"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-openapi-required-d4f6731d64e0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 4.0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "openapi_required", "topic": "api_design"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `missing_required(schema, payload)` where schema is\n`{\"required\": [...], \"properties\": {name: {\"type\": \"string\"|\"number\"|\"boolean\"}}}`.\nReturn sorted names that are missing or have the wrong JSON type.\nExtra payload keys are ignored.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def missing_required(schema, payload):\n types = {\"string\": str, \"number\": (int, float), \"boolean\": bool}\n bad = []\n for name in schema.get(\"required\", []):\n if name not in payload:\n bad.append(name)\n continue\n declared = schema[\"properties\"][name][\"type\"]\n if declared == \"number\" and isinstance(payload[name], bool):\n bad.append(name)\n continue\n if not isinstance(payload[name], types[declared]):\n bad.append(name)\n return sorted(bad)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_types (test_solution.Test.test_types) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def missing_required(schema, payload):\n types = {\"string\": str, \"number\": (int, float), \"boolean\": bool}\n bad = []\n for name in schema.get(\"required\", []):\n if name not in payload:\n bad.append(name)\n continue\n declared = schema[\"properties\"][name][\"type\"]\n if declared == \"number\" and isinstance(payload[name], bool):\n bad.append(name)\n continue\n if not isinstance(payload[name], types[declared]):\n bad.append(name)\n return sorted(bad)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_types (test_solution.Test.test_types) ... FAIL\n\n======================================================================\nFAIL: test_types (test_solution.Test.test_types)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-qvs7oov5\\test_solution.py\", line 10, in test_types\n    self.assertEqual(missing_required(schema, {\"id\": True, \"ok\": True}), [\"id\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['ok'] != ['id']\n\nFirst differing element 0:\n'ok'\n'id'\n\n- ['ok']\n+ ['id']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def missing_required(schema, payload):\n    types = {\"string\": str, \"number\": (int, float), \"boolean\": bool}\n    bad = []\n    for name in schema.get(\"required\", []):\n        if name not in payload:\n            bad.append(name)\n            continue\n        declared = schema[\"properties\"][name][\"type\"]\n        if declared != \"number\" and isinstance(payload[name], bool):\n            bad.append(name)\n            continue\n        if not isinstance(payload[name], types[declared]):\n            bad.append(name)\n    return sorted(bad)\n", "test_solution.py": "import unittest\nfrom solution import missing_required\n\nclass Test(unittest.TestCase):\n    def test_types(self):\n        schema = {\n            \"required\": [\"id\", \"ok\"],\n            \"properties\": {\"id\": {\"type\": \"number\"}, \"ok\": {\"type\": \"boolean\"}},\n        }\n        self.assertEqual(missing_required(schema, {\"id\": True, \"ok\": True}), [\"id\"])\n        self.assertEqual(missing_required(schema, {\"id\": 1, \"ok\": True}), [])\n"}}, "topic": "api_design"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-openapi-required-85f994fd302e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.975}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_types (test_solution.Test.test_types) ... FAIL\n\n======================================================================\nFAIL: test_types (test_solution.Test.test_types)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-qvs7oov5\\test_solution.py\", line 10, in test_types\n    self.assertEqual(missing_required(schema, {\"id\": True, \"ok\": True}), [\"id\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['ok'] != ['id']\n\nFirst differing element 0:\n'ok'\n'id'\n\n- ['ok']\n+ ['id']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "openapi_required", "tests_passed_after_fix": 1, "topic": "api_design"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `missing_required(schema, payload)` where schema is\n`{\"required\": [...], \"properties\": {name: {\"type\": \"string\"|\"number\"|\"boolean\"}}}`.\nReturn sorted names that are missing or have the wrong JSON type.\nExtra payload keys are ignored.\n\n--- solution.py (buggy) ---\ndef missing_required(schema, payload):\n types = {\"string\": str, \"number\": (int, float), \"boolean\": bool}\n bad = []\n for name in schema.get(\"required\", []):\n if name not in payload:\n bad.append(name)\n continue\n declared = schema[\"properties\"][name][\"type\"]\n if declared != \"number\" and isinstance(payload[name], bool):\n bad.append(name)\n continue\n if not isinstance(payload[name], types[declared]):\n bad.append(name)\n return sorted(bad)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import missing_required\n\nclass Test(unittest.TestCase):\n def test_types(self):\n schema = {\n \"required\": [\"id\", \"ok\"],\n \"properties\": {\"id\": {\"type\": \"number\"}, \"ok\": {\"type\": \"boolean\"}},\n }\n self.assertEqual(missing_required(schema, {\"id\": True, \"ok\": True}), [\"id\"])\n self.assertEqual(missing_required(schema, {\"id\": 1, \"ok\": True}), [])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_types (test_solution.Test.test_types) ... FAIL\n\n======================================================================\nFAIL: test_types (test_solution.Test.test_types)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-qvs7oov5\\test_solution.py\", line 10, in test_types\n self.assertEqual(missing_required(schema, {\"id\": True, \"ok\": True}), [\"id\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['ok'] != ['id']\n\nFirst differing element 0:\n'ok'\n'id'\n\n- ['ok']\n+ ['id']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def missing_required(schema, payload):\n types = {\"string\": str, \"number\": (int, float), \"boolean\": bool}\n bad = []\n for name in schema.get(\"required\", []):\n if name not in payload:\n bad.append(name)\n continue\n declared = schema[\"properties\"][name][\"type\"]\n if declared == \"number\" and isinstance(payload[name], bool):\n bad.append(name)\n continue\n if not isinstance(payload[name], types[declared]):\n bad.append(name)\n return sorted(bad)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_types (test_solution.Test.test_types) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def allowed_import(from_layer, to_layer, rules):\n if from_layer == to_layer:\n return True\n allowed = set(rules)\n return (from_layer, to_layer) in allowed", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def allowed_import(from_layer, to_layer, rules):\n    if from_layer == to_layer:\n        return True\n    allowed = set(rules)\n    return (from_layer, to_layer) in allowed\n", "test_solution.py": "import unittest\nfrom solution import allowed_import\n\nclass Test(unittest.TestCase):\n    def test_hex(self):\n        rules = [(\"app\", \"domain\"), (\"infra\", \"domain\")]\n        self.assertTrue(allowed_import(\"app\", \"domain\", rules))\n        self.assertFalse(allowed_import(\"domain\", \"infra\", rules))\n        self.assertTrue(allowed_import(\"domain\", \"domain\", rules))\n"}}, "topic": "architecture"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-layer-ports-b6582f00b6e8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.85, "tests": 0.0, "total": 3.85}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "layer_ports", "topic": "architecture"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `allowed_import(from_layer, to_layer, rules)` where layers are\nstrings and rules is a list of (src, dst) allowed edges. A module may always\nimport from its own layer. Return True iff the import is permitted.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def allowed_import(from_layer, to_layer, rules):\n if from_layer == to_layer:\n return True\n allowed = set(rules)\n return (from_layer, to_layer) in allowed", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_hex (test_solution.Test.test_hex) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def allowed_import(from_layer, to_layer, rules):\n if from_layer == to_layer:\n return True\n allowed = set(rules)\n return (from_layer, to_layer) in allowed", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_hex (test_solution.Test.test_hex) ... FAIL\n\n======================================================================\nFAIL: test_hex (test_solution.Test.test_hex)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-1ukbywm_\\test_solution.py\", line 9, in test_hex\n    self.assertTrue(allowed_import(\"domain\", \"domain\", rules))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def allowed_import(from_layer, to_layer, rules):\n    if from_layer == to_layer:\n        return False\n    allowed = set(rules)\n    return (from_layer, to_layer) in allowed\n", "test_solution.py": "import unittest\nfrom solution import allowed_import\n\nclass Test(unittest.TestCase):\n    def test_hex(self):\n        rules = [(\"app\", \"domain\"), (\"infra\", \"domain\")]\n        self.assertTrue(allowed_import(\"app\", \"domain\", rules))\n        self.assertFalse(allowed_import(\"domain\", \"infra\", rules))\n        self.assertTrue(allowed_import(\"domain\", \"domain\", rules))\n"}}, "topic": "architecture"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-layer-ports-1c09feebbfcc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.775, "tests": 0.0, "total": 10.475}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_hex (test_solution.Test.test_hex) ... FAIL\n\n======================================================================\nFAIL: test_hex (test_solution.Test.test_hex)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-1ukbywm_\\test_solution.py\", line 9, in test_hex\n    self.assertTrue(allowed_import(\"domain\", \"domain\", rules))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "layer_ports", "tests_passed_after_fix": 1, "topic": "architecture"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `allowed_import(from_layer, to_layer, rules)` where layers are\nstrings and rules is a list of (src, dst) allowed edges. A module may always\nimport from its own layer. Return True iff the import is permitted.\n\n--- solution.py (buggy) ---\ndef allowed_import(from_layer, to_layer, rules):\n if from_layer == to_layer:\n return False\n allowed = set(rules)\n return (from_layer, to_layer) in allowed\n\n--- test_solution.py ---\nimport unittest\nfrom solution import allowed_import\n\nclass Test(unittest.TestCase):\n def test_hex(self):\n rules = [(\"app\", \"domain\"), (\"infra\", \"domain\")]\n self.assertTrue(allowed_import(\"app\", \"domain\", rules))\n self.assertFalse(allowed_import(\"domain\", \"infra\", rules))\n self.assertTrue(allowed_import(\"domain\", \"domain\", rules))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_hex (test_solution.Test.test_hex) ... FAIL\n\n======================================================================\nFAIL: test_hex (test_solution.Test.test_hex)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-1ukbywm_\\test_solution.py\", line 9, in test_hex\n self.assertTrue(allowed_import(\"domain\", \"domain\", rules))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def allowed_import(from_layer, to_layer, rules):\n if from_layer == to_layer:\n return True\n allowed = set(rules)\n return (from_layer, to_layer) in allowed", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_hex (test_solution.Test.test_hex) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def eval_rpn(tokens):\n stack = []\n ops = {\n \"+\": lambda a, b: a + b,\n \"-\": lambda a, b: a - b,\n \"*\": lambda a, b: a * b,\n \"/\": lambda a, b: a // b,\n }\n for tok in tokens:\n if tok in ops:\n b = stack.pop()\n a = stack.pop()\n stack.append(ops[tok](a, b))\n else:\n stack.append(int(tok))\n if len(stack) != 1:\n raise ValueError(\"rpn\")\n return stack[0]", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def eval_rpn(tokens):\n    stack = []\n    ops = {\n        \"+\": lambda a, b: a + b,\n        \"-\": lambda a, b: a - b,\n        \"*\": lambda a, b: a * b,\n        \"/\": lambda a, b: a // b,\n    }\n    for tok in tokens:\n        if tok in ops:\n            b = stack.pop()\n            a = stack.pop()\n            stack.append(ops[tok](a, b))\n        else:\n            stack.append(int(tok))\n    if len(stack) != 1:\n        raise ValueError(\"rpn\")\n    return stack[0]\n", "test_solution.py": "import unittest\nfrom solution import eval_rpn\n\nclass Test(unittest.TestCase):\n    def test_expr(self):\n        self.assertEqual(eval_rpn([\"2\", \"3\", \"4\", \"*\", \"+\"]), 14)\n    def test_div(self):\n        self.assertEqual(eval_rpn([\"7\", \"2\", \"/\"]), 3)\n"}}, "topic": "interpreters"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-infix-rpn-eval-24d19ffbb57b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 6.9}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "infix_rpn_eval", "topic": "interpreters"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `eval_rpn(tokens)` for integers and + - * / (integer division\ntoward zero is NOT required: use Python `//` toward -inf). Tokens are strings.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def eval_rpn(tokens):\n stack = []\n ops = {\n \"+\": lambda a, b: a + b,\n \"-\": lambda a, b: a - b,\n \"*\": lambda a, b: a * b,\n \"/\": lambda a, b: a // b,\n }\n for tok in tokens:\n if tok in ops:\n b = stack.pop()\n a = stack.pop()\n stack.append(ops[tok](a, b))\n else:\n stack.append(int(tok))\n if len(stack) != 1:\n raise ValueError(\"rpn\")\n return stack[0]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_div (test_solution.Test.test_div) ... ok\ntest_expr (test_solution.Test.test_expr) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def eval_rpn(tokens):\n stack = []\n ops = {\n \"+\": lambda a, b: a + b,\n \"-\": lambda a, b: a - b,\n \"*\": lambda a, b: a * b,\n \"/\": lambda a, b: a // b,\n }\n for tok in tokens:\n if tok in ops:\n b = stack.pop()\n a = stack.pop()\n stack.append(ops[tok](a, b))\n else:\n stack.append(int(tok))\n if len(stack) != 1:\n raise ValueError(\"rpn\")\n return stack[0]", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_div (test_solution.Test.test_div) ... ok\ntest_expr (test_solution.Test.test_expr) ... FAIL\n\n======================================================================\nFAIL: test_expr (test_solution.Test.test_expr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-x9yaho2a\\test_solution.py\", line 6, in test_expr\n    self.assertEqual(eval_rpn([\"2\", \"3\", \"4\", \"*\", \"+\"]), 14)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -10 != 14\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def eval_rpn(tokens):\n    stack = []\n    ops = {\n        \"+\": lambda a, b: a - b,\n        \"-\": lambda a, b: a - b,\n        \"*\": lambda a, b: a * b,\n        \"/\": lambda a, b: a // b,\n    }\n    for tok in tokens:\n        if tok in ops:\n            b = stack.pop()\n            a = stack.pop()\n            stack.append(ops[tok](a, b))\n        else:\n            stack.append(int(tok))\n    if len(stack) != 1:\n        raise ValueError(\"rpn\")\n    return stack[0]\n", "test_solution.py": "import unittest\nfrom solution import eval_rpn\n\nclass Test(unittest.TestCase):\n    def test_expr(self):\n        self.assertEqual(eval_rpn([\"2\", \"3\", \"4\", \"*\", \"+\"]), 14)\n    def test_div(self):\n        self.assertEqual(eval_rpn([\"7\", \"2\", \"/\"]), 3)\n"}}, "topic": "interpreters"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-infix-rpn-eval-e3dae1ab943e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.0}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_div (test_solution.Test.test_div) ... ok\ntest_expr (test_solution.Test.test_expr) ... FAIL\n\n======================================================================\nFAIL: test_expr (test_solution.Test.test_expr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-x9yaho2a\\test_solution.py\", line 6, in test_expr\n    self.assertEqual(eval_rpn([\"2\", \"3\", \"4\", \"*\", \"+\"]), 14)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -10 != 14\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "infix_rpn_eval", "tests_passed_after_fix": 2, "topic": "interpreters"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `eval_rpn(tokens)` for integers and + - * / (integer division\ntoward zero is NOT required: use Python `//` toward -inf). Tokens are strings.\n\n--- solution.py (buggy) ---\ndef eval_rpn(tokens):\n stack = []\n ops = {\n \"+\": lambda a, b: a - b,\n \"-\": lambda a, b: a - b,\n \"*\": lambda a, b: a * b,\n \"/\": lambda a, b: a // b,\n }\n for tok in tokens:\n if tok in ops:\n b = stack.pop()\n a = stack.pop()\n stack.append(ops[tok](a, b))\n else:\n stack.append(int(tok))\n if len(stack) != 1:\n raise ValueError(\"rpn\")\n return stack[0]\n\n--- test_solution.py ---\nimport unittest\nfrom solution import eval_rpn\n\nclass Test(unittest.TestCase):\n def test_expr(self):\n self.assertEqual(eval_rpn([\"2\", \"3\", \"4\", \"*\", \"+\"]), 14)\n def test_div(self):\n self.assertEqual(eval_rpn([\"7\", \"2\", \"/\"]), 3)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_div (test_solution.Test.test_div) ... ok\ntest_expr (test_solution.Test.test_expr) ... FAIL\n\n======================================================================\nFAIL: test_expr (test_solution.Test.test_expr)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-x9yaho2a\\test_solution.py\", line 6, in test_expr\n self.assertEqual(eval_rpn([\"2\", \"3\", \"4\", \"*\", \"+\"]), 14)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -10 != 14\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def eval_rpn(tokens):\n stack = []\n ops = {\n \"+\": lambda a, b: a + b,\n \"-\": lambda a, b: a - b,\n \"*\": lambda a, b: a * b,\n \"/\": lambda a, b: a // b,\n }\n for tok in tokens:\n if tok in ops:\n b = stack.pop()\n a = stack.pop()\n stack.append(ops[tok](a, b))\n else:\n stack.append(int(tok))\n if len(stack) != 1:\n raise ValueError(\"rpn\")\n return stack[0]", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_div (test_solution.Test.test_div) ... ok\ntest_expr (test_solution.Test.test_expr) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def occurs(var, typ):\n if typ == var:\n return True\n if isinstance(typ, list):\n return any(occurs(var, part) for part in typ[1:])\n return False\n\ndef apply_sub(sub, typ):\n if isinstance(typ, str):\n return sub.get(typ, typ)\n return [typ[0], *(apply_sub(sub, p) for p in typ[1:])]\n\ndef unify(a, b, sub=None):\n sub = dict(sub or {})\n a, b = apply_sub(sub, a), apply_sub(sub, b)\n if a == b:\n return sub\n if isinstance(a, str) and a.startswith(\"?\"):\n if occurs(a, b):\n return None\n sub[a] = b\n return sub\n if isinstance(b, str) and b.startswith(\"?\"):\n return unify(b, a, sub)\n if isinstance(a, list) and isinstance(b, list) and a[0] == b[0] and len(a) == len(b):\n for x, y in zip(a[1:], b[1:]):\n sub = unify(x, y, sub)\n if sub is None:\n return None\n return sub\n return None", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def occurs(var, typ):\n    if typ == var:\n        return True\n    if isinstance(typ, list):\n        return any(occurs(var, part) for part in typ[1:])\n    return False\n\ndef apply_sub(sub, typ):\n    if isinstance(typ, str):\n        return sub.get(typ, typ)\n    return [typ[0], *(apply_sub(sub, p) for p in typ[1:])]\n\ndef unify(a, b, sub=None):\n    sub = dict(sub or {})\n    a, b = apply_sub(sub, a), apply_sub(sub, b)\n    if a == b:\n        return sub\n    if isinstance(a, str) and a.startswith(\"?\"):\n        if occurs(a, b):\n            return None\n        sub[a] = b\n        return sub\n    if isinstance(b, str) and b.startswith(\"?\"):\n        return unify(b, a, sub)\n    if isinstance(a, list) and isinstance(b, list) and a[0] == b[0] and len(a) == len(b):\n        for x, y in zip(a[1:], b[1:]):\n            sub = unify(x, y, sub)\n            if sub is None:\n                return None\n        return sub\n    return None\n", "test_solution.py": "import unittest\nfrom solution import unify\n\nclass Test(unittest.TestCase):\n    def test_fun(self):\n        s = unify([\"Fun\", \"?a\", \"Int\"], [\"Fun\", \"Bool\", \"?b\"])\n        self.assertEqual(s[\"?a\"], \"Bool\")\n        self.assertEqual(s[\"?b\"], \"Int\")\n    def test_fail(self):\n        self.assertIsNone(unify(\"Int\", \"Bool\"))\n"}}, "topic": "type_systems"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-mini-typecheck-unify-593cc25f6fe5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 1.075, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.275, "tests": 0.0, "total": 5.325}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "mini_typecheck_unify", "topic": "type_systems"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `unify(a, b)` for a tiny type language: types are strings\n('Int', 'Bool') or lists ['Fun', t1, t2]. Variables are strings starting with\n`?`. Return a dict substitution or None on failure. Do not need occurs-check\nbeyond rejecting assigning a variable to a type that contains it as a nested list.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def occurs(var, typ):\n if typ == var:\n return True\n if isinstance(typ, list):\n return any(occurs(var, part) for part in typ[1:])\n return False\n\ndef apply_sub(sub, typ):\n if isinstance(typ, str):\n return sub.get(typ, typ)\n return [typ[0], *(apply_sub(sub, p) for p in typ[1:])]\n\ndef unify(a, b, sub=None):\n sub = dict(sub or {})\n a, b = apply_sub(sub, a), apply_sub(sub, b)\n if a == b:\n return sub\n if isinstance(a, str) and a.startswith(\"?\"):\n if occurs(a, b):\n return None\n sub[a] = b\n return sub\n if isinstance(b, str) and b.startswith(\"?\"):\n return unify(b, a, sub)\n if isinstance(a, list) and isinstance(b, list) and a[0] == b[0] and len(a) == len(b):\n for x, y in zip(a[1:], b[1:]):\n sub = unify(x, y, sub)\n if sub is None:\n return None\n return sub\n return None", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_fail (test_solution.Test.test_fail) ... ok\ntest_fun (test_solution.Test.test_fun) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import re\n\ndef unused_assigns(lines):\n assigned = set()\n used = set()\n for line in lines:\n m = re.fullmatch(r\"([a-z]+) = .*\", line.strip())\n if m:\n assigned.add(m.group(1))\n continue\n m = re.fullmatch(r\"use ([a-z]+)\", line.strip())\n if m:\n used.add(m.group(1))\n return sorted(assigned - used)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\n\ndef unused_assigns(lines):\n    assigned = set()\n    used = set()\n    for line in lines:\n        m = re.fullmatch(r\"([a-z]+) = .*\", line.strip())\n        if m:\n            assigned.add(m.group(1))\n            continue\n        m = re.fullmatch(r\"use ([a-z]+)\", line.strip())\n        if m:\n            used.add(m.group(1))\n    return sorted(assigned - used)\n", "test_solution.py": "import unittest\nfrom solution import unused_assigns\n\nclass Test(unittest.TestCase):\n    def test_unused(self):\n        self.assertEqual(unused_assigns([\"a = 1\", \"b = 2\", \"use a\"]), [\"b\"])\n"}}, "topic": "static_analysis"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-static-unused-38afb5319518", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 5.65}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "static_unused", "topic": "static_analysis"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `unused_assigns(lines)` for a toy language: lines are\n`x = ...` or `use x`. Names are `[a-z]+`. Return sorted names assigned at\nleast once and never used. Later use counts.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\n\ndef unused_assigns(lines):\n assigned = set()\n used = set()\n for line in lines:\n m = re.fullmatch(r\"([a-z]+) = .*\", line.strip())\n if m:\n assigned.add(m.group(1))\n continue\n m = re.fullmatch(r\"use ([a-z]+)\", line.strip())\n if m:\n used.add(m.group(1))\n return sorted(assigned - used)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_unused (test_solution.Test.test_unused) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def google_args(docstring):\n lines = docstring.splitlines()\n out = []\n in_args = False\n for line in lines:\n if line.strip() == \"Args:\":\n in_args = True\n continue\n if in_args and line.strip().endswith(\":\") and not line.startswith(\" \"):\n break\n if in_args:\n stripped = line.strip()\n if \": \" in stripped:\n name, desc = stripped.split(\": \", 1)\n out.append((name, desc))\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def google_args(docstring):\n    lines = docstring.splitlines()\n    out = []\n    in_args = False\n    for line in lines:\n        if line.strip() == \"Args:\":\n            in_args = True\n            continue\n        if in_args and line.strip().endswith(\":\") and not line.startswith(\" \"):\n            break\n        if in_args:\n            stripped = line.strip()\n            if \": \" in stripped:\n                name, desc = stripped.split(\": \", 1)\n                out.append((name, desc))\n    return out\n", "test_solution.py": "import unittest\nfrom solution import google_args\n\nclass Test(unittest.TestCase):\n    def test_args(self):\n        doc = \"\"\"Do a thing.\\n\\nArgs:\\n    count: how many\\n    name: label\\n\\nReturns:\\n    none\\n\"\"\"\n        self.assertEqual(google_args(doc), [(\"count\", \"how many\"), (\"name\", \"label\")])\n"}}, "topic": "documentation"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-doc-extract-params-c3a9d5470e58", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 3.95}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "doc_extract_params", "topic": "documentation"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `google_args(docstring)` extracting Args from a Google-style\ndocstring. Return a list of (name, description) for lines indented like\n` name: desc`. Ignore other sections.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def google_args(docstring):\n lines = docstring.splitlines()\n out = []\n in_args = False\n for line in lines:\n if line.strip() == \"Args:\":\n in_args = True\n continue\n if in_args and line.strip().endswith(\":\") and not line.startswith(\" \"):\n break\n if in_args:\n stripped = line.strip()\n if \": \" in stripped:\n name, desc = stripped.split(\": \", 1)\n out.append((name, desc))\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_args (test_solution.Test.test_args) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def google_args(docstring):\n lines = docstring.splitlines()\n out = []\n in_args = False\n for line in lines:\n if line.strip() == \"Args:\":\n in_args = True\n continue\n if in_args and line.strip().endswith(\":\") and not line.startswith(\" \"):\n break\n if in_args:\n stripped = line.strip()\n if \": \" in stripped:\n name, desc = stripped.split(\": \", 1)\n out.append((name, desc))\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_args (test_solution.Test.test_args) ... FAIL\n\n======================================================================\nFAIL: test_args (test_solution.Test.test_args)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-aslyxdgv\\test_solution.py\", line 7, in test_args\n    self.assertEqual(google_args(doc), [(\"count\", \"how many\"), (\"name\", \"label\")])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != [('count', 'how many'), ('name', 'label')]\n\nSecond list contains 2 additional elements.\nFirst extra element 0:\n('count', 'how many')\n\n- []\n+ [('count', 'how many'), ('name', 'label')]\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def google_args(docstring):\n    lines = docstring.splitlines()\n    out = []\n    in_args = False\n    for line in lines:\n        if line.strip() != \"Args:\":\n            in_args = True\n            continue\n        if in_args and line.strip().endswith(\":\") and not line.startswith(\" \"):\n            break\n        if in_args:\n            stripped = line.strip()\n            if \": \" in stripped:\n                name, desc = stripped.split(\": \", 1)\n                out.append((name, desc))\n    return out\n", "test_solution.py": "import unittest\nfrom solution import google_args\n\nclass Test(unittest.TestCase):\n    def test_args(self):\n        doc = \"\"\"Do a thing.\\n\\nArgs:\\n    count: how many\\n    name: label\\n\\nReturns:\\n    none\\n\"\"\"\n        self.assertEqual(google_args(doc), [(\"count\", \"how many\"), (\"name\", \"label\")])\n"}}, "topic": "documentation"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-doc-extract-params-dbee28dc353d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.925}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_args (test_solution.Test.test_args) ... FAIL\n\n======================================================================\nFAIL: test_args (test_solution.Test.test_args)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-aslyxdgv\\test_solution.py\", line 7, in test_args\n    self.assertEqual(google_args(doc), [(\"count\", \"how many\"), (\"name\", \"label\")])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != [('count', 'how many'), ('name', 'label')]\n\nSecond list contains 2 additional elements.\nFirst extra element 0:\n('count', 'how many')\n\n- []\n+ [('count', 'how many'), ('name', 'label')]\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "doc_extract_params", "tests_passed_after_fix": 1, "topic": "documentation"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `google_args(docstring)` extracting Args from a Google-style\ndocstring. Return a list of (name, description) for lines indented like\n` name: desc`. Ignore other sections.\n\n--- solution.py (buggy) ---\ndef google_args(docstring):\n lines = docstring.splitlines()\n out = []\n in_args = False\n for line in lines:\n if line.strip() != \"Args:\":\n in_args = True\n continue\n if in_args and line.strip().endswith(\":\") and not line.startswith(\" \"):\n break\n if in_args:\n stripped = line.strip()\n if \": \" in stripped:\n name, desc = stripped.split(\": \", 1)\n out.append((name, desc))\n return out\n\n--- test_solution.py ---\nimport unittest\nfrom solution import google_args\n\nclass Test(unittest.TestCase):\n def test_args(self):\n doc = \"\"\"Do a thing.\\n\\nArgs:\\n count: how many\\n name: label\\n\\nReturns:\\n none\\n\"\"\"\n self.assertEqual(google_args(doc), [(\"count\", \"how many\"), (\"name\", \"label\")])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_args (test_solution.Test.test_args) ... FAIL\n\n======================================================================\nFAIL: test_args (test_solution.Test.test_args)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-aslyxdgv\\test_solution.py\", line 7, in test_args\n self.assertEqual(google_args(doc), [(\"count\", \"how many\"), (\"name\", \"label\")])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != [('count', 'how many'), ('name', 'label')]\n\nSecond list contains 2 additional elements.\nFirst extra element 0:\n('count', 'how many')\n\n- []\n+ [('count', 'how many'), ('name', 'label')]\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:40Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def google_args(docstring):\n lines = docstring.splitlines()\n out = []\n in_args = False\n for line in lines:\n if line.strip() == \"Args:\":\n in_args = True\n continue\n if in_args and line.strip().endswith(\":\") and not line.startswith(\" \"):\n break\n if in_args:\n stripped = line.strip()\n if \": \" in stripped:\n name, desc = stripped.split(\": \", 1)\n out.append((name, desc))\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_args (test_solution.Test.test_args) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def migrate_v1_to_v2(payload):\n mapping = {\"userName\": \"username\", \"emailAddress\": \"email\"}\n return {mapping.get(k, k): v for k, v in payload.items()}", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def migrate_v1_to_v2(payload):\n    mapping = {\"userName\": \"username\", \"emailAddress\": \"email\"}\n    return {mapping.get(k, k): v for k, v in payload.items()}\n", "test_solution.py": "import unittest\nfrom solution import migrate_v1_to_v2\n\nclass Test(unittest.TestCase):\n    def test_rename(self):\n        self.assertEqual(\n            migrate_v1_to_v2({\"userName\": \"a\", \"keep\": 1}),\n            {\"username\": \"a\", \"keep\": 1},\n        )\n"}}, "topic": "migration"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-migrate-rename-keys-ae57de445432", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.5500000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "migrate_rename_keys", "topic": "migration"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `migrate_v1_to_v2(payload)` renaming keys `userName`->`username`\nand `emailAddress`->`email`, leaving other keys. Missing keys stay missing.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def migrate_v1_to_v2(payload):\n mapping = {\"userName\": \"username\", \"emailAddress\": \"email\"}\n return {mapping.get(k, k): v for k, v in payload.items()}", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_rename (test_solution.Test.test_rename) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def api_supported(client, server):\n return client[0] == server[0] and client[1] <= server[1]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def api_supported(client, server):\n    return client[0] == server[0] and client[1] <= server[1]\n", "test_solution.py": "import unittest\nfrom solution import api_supported\n\nclass Test(unittest.TestCase):\n    def test_ok(self):\n        self.assertTrue(api_supported((1, 2), (1, 4)))\n        self.assertFalse(api_supported((1, 5), (1, 4)))\n        self.assertFalse(api_supported((2, 0), (1, 9)))\n"}}, "topic": "compatibility"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-compat-flag-23b7947ba53a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 3.3}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "compat_flag", "topic": "compatibility"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `api_supported(client, server)` where versions are (major, minor).\nCompatible iff major matches and client.minor <= server.minor.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def api_supported(client, server):\n return client[0] == server[0] and client[1] <= server[1]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ok (test_solution.Test.test_ok) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def dockerfile_runs_as_root(text):\n user = None\n for raw in text.splitlines():\n line = raw.strip()\n if not line or line.startswith(\"#\"):\n continue\n parts = line.split()\n if parts[0].upper() == \"USER\":\n user = parts[1] if len(parts) > 1 else \"\"\n if user is None:\n return True\n return user.lower() == \"root\" or user == \"0\"", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def dockerfile_runs_as_root(text):\n    user = None\n    for raw in text.splitlines():\n        line = raw.strip()\n        if not line or line.startswith(\"#\"):\n            continue\n        parts = line.split()\n        if parts[0].upper() == \"USER\":\n            user = parts[1] if len(parts) > 1 else \"\"\n    if user is None:\n        return True\n    return user.lower() == \"root\" or user == \"0\"\n", "test_solution.py": "import unittest\nfrom solution import dockerfile_runs_as_root\n\nclass Test(unittest.TestCase):\n    def test_last_user(self):\n        text = \"FROM alpine\\nUSER root\\nUSER app\\n\"\n        self.assertFalse(dockerfile_runs_as_root(text))\n        self.assertTrue(dockerfile_runs_as_root(\"FROM alpine\\n\"))\n"}}, "topic": "containers"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-dockerfile-user-99c246d38333", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 4.0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "dockerfile_user", "topic": "containers"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `dockerfile_runs_as_root(text)` returning True if the last\nUSER instruction is missing or is `USER root` / `USER 0` (ignoring case on\nroot). Comment lines starting with # are ignored.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def dockerfile_runs_as_root(text):\n user = None\n for raw in text.splitlines():\n line = raw.strip()\n if not line or line.startswith(\"#\"):\n continue\n parts = line.split()\n if parts[0].upper() == \"USER\":\n user = parts[1] if len(parts) > 1 else \"\"\n if user is None:\n return True\n return user.lower() == \"root\" or user == \"0\"", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_last_user (test_solution.Test.test_last_user) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def dockerfile_runs_as_root(text):\n user = None\n for raw in text.splitlines():\n line = raw.strip()\n if not line or line.startswith(\"#\"):\n continue\n parts = line.split()\n if parts[0].upper() == \"USER\":\n user = parts[1] if len(parts) > 1 else \"\"\n if user is None:\n return True\n return user.lower() == \"root\" or user == \"0\"", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_last_user (test_solution.Test.test_last_user) ... FAIL\n\n======================================================================\nFAIL: test_last_user (test_solution.Test.test_last_user)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-z0hsb33r\\test_solution.py\", line 8, in test_last_user\n    self.assertTrue(dockerfile_runs_as_root(\"FROM alpine\\n\"))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def dockerfile_runs_as_root(text):\n    user = None\n    for raw in text.splitlines():\n        line = raw.strip()\n        if not line or line.startswith(\"#\"):\n            continue\n        parts = line.split()\n        if parts[0].upper() == \"USER\":\n            user = parts[1] if len(parts) > 1 else \"\"\n    if user is None:\n        return False\n    return user.lower() == \"root\" or user == \"0\"\n", "test_solution.py": "import unittest\nfrom solution import dockerfile_runs_as_root\n\nclass Test(unittest.TestCase):\n    def test_last_user(self):\n        text = \"FROM alpine\\nUSER root\\nUSER app\\n\"\n        self.assertFalse(dockerfile_runs_as_root(text))\n        self.assertTrue(dockerfile_runs_as_root(\"FROM alpine\\n\"))\n"}}, "topic": "containers"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-dockerfile-user-937ebe0d0713", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.85}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_last_user (test_solution.Test.test_last_user) ... FAIL\n\n======================================================================\nFAIL: test_last_user (test_solution.Test.test_last_user)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-z0hsb33r\\test_solution.py\", line 8, in test_last_user\n    self.assertTrue(dockerfile_runs_as_root(\"FROM alpine\\n\"))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "dockerfile_user", "tests_passed_after_fix": 1, "topic": "containers"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `dockerfile_runs_as_root(text)` returning True if the last\nUSER instruction is missing or is `USER root` / `USER 0` (ignoring case on\nroot). Comment lines starting with # are ignored.\n\n--- solution.py (buggy) ---\ndef dockerfile_runs_as_root(text):\n user = None\n for raw in text.splitlines():\n line = raw.strip()\n if not line or line.startswith(\"#\"):\n continue\n parts = line.split()\n if parts[0].upper() == \"USER\":\n user = parts[1] if len(parts) > 1 else \"\"\n if user is None:\n return False\n return user.lower() == \"root\" or user == \"0\"\n\n--- test_solution.py ---\nimport unittest\nfrom solution import dockerfile_runs_as_root\n\nclass Test(unittest.TestCase):\n def test_last_user(self):\n text = \"FROM alpine\\nUSER root\\nUSER app\\n\"\n self.assertFalse(dockerfile_runs_as_root(text))\n self.assertTrue(dockerfile_runs_as_root(\"FROM alpine\\n\"))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_last_user (test_solution.Test.test_last_user) ... FAIL\n\n======================================================================\nFAIL: test_last_user (test_solution.Test.test_last_user)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-z0hsb33r\\test_solution.py\", line 8, in test_last_user\n self.assertTrue(dockerfile_runs_as_root(\"FROM alpine\\n\"))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def dockerfile_runs_as_root(text):\n user = None\n for raw in text.splitlines():\n line = raw.strip()\n if not line or line.startswith(\"#\"):\n continue\n parts = line.split()\n if parts[0].upper() == \"USER\":\n user = parts[1] if len(parts) > 1 else \"\"\n if user is None:\n return True\n return user.lower() == \"root\" or user == \"0\"", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_last_user (test_solution.Test.test_last_user) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import defaultdict, deque\n\ndef startup_order(depends):\n nodes = set(depends)\n for deps in depends.values():\n nodes.update(deps)\n incoming = {n: 0 for n in nodes}\n graph = defaultdict(list)\n for svc, deps in depends.items():\n for dep in deps:\n graph[dep].append(svc)\n incoming[svc] += 1\n ready = deque([n for n in nodes if incoming[n] == 0])\n order = []\n while ready:\n n = ready.popleft()\n order.append(n)\n for m in graph[n]:\n incoming[m] -= 1\n if incoming[m] == 0:\n ready.append(m)\n if len(order) != len(nodes):\n raise ValueError(\"cycle\")\n return order", "assumptions": [], "concept_id": "python.collections", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import defaultdict, deque\n\ndef startup_order(depends):\n    nodes = set(depends)\n    for deps in depends.values():\n        nodes.update(deps)\n    incoming = {n: 0 for n in nodes}\n    graph = defaultdict(list)\n    for svc, deps in depends.items():\n        for dep in deps:\n            graph[dep].append(svc)\n            incoming[svc] += 1\n    ready = deque([n for n in nodes if incoming[n] == 0])\n    order = []\n    while ready:\n        n = ready.popleft()\n        order.append(n)\n        for m in graph[n]:\n            incoming[m] -= 1\n            if incoming[m] == 0:\n                ready.append(m)\n    if len(order) != len(nodes):\n        raise ValueError(\"cycle\")\n    return order\n", "test_solution.py": "import unittest\nfrom solution import startup_order\n\nclass Test(unittest.TestCase):\n    def test_order(self):\n        order = startup_order({\"web\": [\"api\"], \"api\": [\"db\"], \"db\": []})\n        self.assertEqual(order[:1], [\"db\"])\n        self.assertLess(order.index(\"api\"), order.index(\"web\"))\n"}}, "topic": "distributed_systems"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-compose-depends-cf786caf91fe", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.85, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 4.6}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "compose_depends", "topic": "distributed_systems"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `startup_order(depends)` where depends maps service -> list of\nservices it needs first. Return a topological order. Raise ValueError on cycles.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import defaultdict, deque\n\ndef startup_order(depends):\n nodes = set(depends)\n for deps in depends.values():\n nodes.update(deps)\n incoming = {n: 0 for n in nodes}\n graph = defaultdict(list)\n for svc, deps in depends.items():\n for dep in deps:\n graph[dep].append(svc)\n incoming[svc] += 1\n ready = deque([n for n in nodes if incoming[n] == 0])\n order = []\n while ready:\n n = ready.popleft()\n order.append(n)\n for m in graph[n]:\n incoming[m] -= 1\n if incoming[m] == 0:\n ready.append(m)\n if len(order) != len(nodes):\n raise ValueError(\"cycle\")\n return order", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_order (test_solution.Test.test_order) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import defaultdict, deque\n\ndef startup_order(depends):\n nodes = set(depends)\n for deps in depends.values():\n nodes.update(deps)\n incoming = {n: 0 for n in nodes}\n graph = defaultdict(list)\n for svc, deps in depends.items():\n for dep in deps:\n graph[dep].append(svc)\n incoming[svc] += 1\n ready = deque([n for n in nodes if incoming[n] == 0])\n order = []\n while ready:\n n = ready.popleft()\n order.append(n)\n for m in graph[n]:\n incoming[m] -= 1\n if incoming[m] == 0:\n ready.append(m)\n if len(order) != len(nodes):\n raise ValueError(\"cycle\")\n return order", "assumptions": [], "concept_id": "python.collections", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_order (test_solution.Test.test_order) ... FAIL\n\n======================================================================\nFAIL: test_order (test_solution.Test.test_order)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ine8x9qi\\test_solution.py\", line 7, in test_order\n    self.assertEqual(order[:1], [\"db\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['api'] != ['db']\n\nFirst differing element 0:\n'api'\n'db'\n\n- ['api']\n+ ['db']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "from collections import defaultdict, deque\n\ndef startup_order(depends):\n    nodes = set(depends)\n    for deps in depends.values():\n        nodes.update(deps)\n    incoming = {n: 0 for n in nodes}\n    graph = defaultdict(list)\n    for svc, deps in depends.items():\n        for dep in deps:\n            graph[dep].append(svc)\n            incoming[svc] += 1\n    ready = deque([n for n in nodes if incoming[n] != 0])\n    order = []\n    while ready:\n        n = ready.popleft()\n        order.append(n)\n        for m in graph[n]:\n            incoming[m] -= 1\n            if incoming[m] == 0:\n                ready.append(m)\n    if len(order) != len(nodes):\n        raise ValueError(\"cycle\")\n    return order\n", "test_solution.py": "import unittest\nfrom solution import startup_order\n\nclass Test(unittest.TestCase):\n    def test_order(self):\n        order = startup_order({\"web\": [\"api\"], \"api\": [\"db\"], \"db\": []})\n        self.assertEqual(order[:1], [\"db\"])\n        self.assertLess(order.index(\"api\"), order.index(\"web\"))\n"}}, "topic": "distributed_systems"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-compose-depends-a666e0dc128e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.85, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.15}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_order (test_solution.Test.test_order) ... FAIL\n\n======================================================================\nFAIL: test_order (test_solution.Test.test_order)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ine8x9qi\\test_solution.py\", line 7, in test_order\n    self.assertEqual(order[:1], [\"db\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['api'] != ['db']\n\nFirst differing element 0:\n'api'\n'db'\n\n- ['api']\n+ ['db']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "compose_depends", "tests_passed_after_fix": 1, "topic": "distributed_systems"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `startup_order(depends)` where depends maps service -> list of\nservices it needs first. Return a topological order. Raise ValueError on cycles.\n\n--- solution.py (buggy) ---\nfrom collections import defaultdict, deque\n\ndef startup_order(depends):\n nodes = set(depends)\n for deps in depends.values():\n nodes.update(deps)\n incoming = {n: 0 for n in nodes}\n graph = defaultdict(list)\n for svc, deps in depends.items():\n for dep in deps:\n graph[dep].append(svc)\n incoming[svc] += 1\n ready = deque([n for n in nodes if incoming[n] != 0])\n order = []\n while ready:\n n = ready.popleft()\n order.append(n)\n for m in graph[n]:\n incoming[m] -= 1\n if incoming[m] == 0:\n ready.append(m)\n if len(order) != len(nodes):\n raise ValueError(\"cycle\")\n return order\n\n--- test_solution.py ---\nimport unittest\nfrom solution import startup_order\n\nclass Test(unittest.TestCase):\n def test_order(self):\n order = startup_order({\"web\": [\"api\"], \"api\": [\"db\"], \"db\": []})\n self.assertEqual(order[:1], [\"db\"])\n self.assertLess(order.index(\"api\"), order.index(\"web\"))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_order (test_solution.Test.test_order) ... FAIL\n\n======================================================================\nFAIL: test_order (test_solution.Test.test_order)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ine8x9qi\\test_solution.py\", line 7, in test_order\n self.assertEqual(order[:1], [\"db\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['api'] != ['db']\n\nFirst differing element 0:\n'api'\n'db'\n\n- ['api']\n+ ['db']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import defaultdict, deque\n\ndef startup_order(depends):\n nodes = set(depends)\n for deps in depends.values():\n nodes.update(deps)\n incoming = {n: 0 for n in nodes}\n graph = defaultdict(list)\n for svc, deps in depends.items():\n for dep in deps:\n graph[dep].append(svc)\n incoming[svc] += 1\n ready = deque([n for n in nodes if incoming[n] == 0])\n order = []\n while ready:\n n = ready.popleft()\n order.append(n)\n for m in graph[n]:\n incoming[m] -= 1\n if incoming[m] == 0:\n ready.append(m)\n if len(order) != len(nodes):\n raise ValueError(\"cycle\")\n return order", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_order (test_solution.Test.test_order) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def first_true(predicates):\n for i, fn in enumerate(predicates):\n if fn():\n return i\n return -1", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def first_true(predicates):\n    for i, fn in enumerate(predicates):\n        if fn():\n            return i\n    return -1\n", "test_solution.py": "import unittest\nfrom solution import first_true\n\nclass Test(unittest.TestCase):\n    def test_short(self):\n        calls = []\n        def a():\n            calls.append(\"a\")\n            return False\n        def b():\n            calls.append(\"b\")\n            return True\n        def c():\n            calls.append(\"c\")\n            return True\n        self.assertEqual(first_true([a, b, c]), 1)\n        self.assertEqual(calls, [\"a\", \"b\"])\n"}}, "topic": "asynchronous_programming"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-async-gather-ok-95298ce50108", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.625}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "async_gather_ok", "topic": "asynchronous_programming"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `first_true(predicates)` where predicates is a list of zero-arg\ncallables. Return the index of the first that returns a truthy value, or -1.\nLater predicates must not be called after success (short-circuit).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def first_true(predicates):\n for i, fn in enumerate(predicates):\n if fn():\n return i\n return -1", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_short (test_solution.Test.test_short) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "import threading\n\ndef threaded_increment(n_threads, n_each):\n lock = threading.Lock()\n value = {\"n\": 0}\n\n def worker():\n for _ in range(n_each):\n with lock:\n value[\"n\"] += 1\n\n threads = [threading.Thread(target=worker) for _ in range(n_threads)]\n for t in threads:\n t.start()\n for t in threads:\n t.join()\n return value[\"n\"]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import threading\n\ndef threaded_increment(n_threads, n_each):\n    lock = threading.Lock()\n    value = {\"n\": 0}\n\n    def worker():\n        for _ in range(n_each):\n            with lock:\n                value[\"n\"] += 1\n\n    threads = [threading.Thread(target=worker) for _ in range(n_threads)]\n    for t in threads:\n        t.start()\n    for t in threads:\n        t.join()\n    return value[\"n\"]\n", "test_solution.py": "import unittest\nfrom solution import threaded_increment\n\nclass Test(unittest.TestCase):\n    def test_count(self):\n        self.assertEqual(threaded_increment(4, 50), 200)\n"}}, "topic": "concurrency"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-mutex-counter-52c971c4e6a9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.65, "tests": 0.0, "total": 4.25}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "mutex_counter", "topic": "concurrency"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `threaded_increment(n_threads, n_each)` that starts n_threads\nthreads each adding n_each to a shared integer behind a threading.Lock.\nReturn the final count (must equal n_threads * n_each).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import threading\n\ndef threaded_increment(n_threads, n_each):\n lock = threading.Lock()\n value = {\"n\": 0}\n\n def worker():\n for _ in range(n_each):\n with lock:\n value[\"n\"] += 1\n\n threads = [threading.Thread(target=worker) for _ in range(n_threads)]\n for t in threads:\n t.start()\n for t in threads:\n t.join()\n return value[\"n\"]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_count (test_solution.Test.test_count) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def pair_indices(nums, target):\n seen = {}\n best = None\n for i, value in enumerate(nums):\n need = target - value\n if need in seen:\n cand = (seen[need], i)\n if best is None or cand < best:\n best = cand\n if value not in seen:\n seen[value] = i\n return best", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def pair_indices(nums, target):\n    seen = {}\n    best = None\n    for i, value in enumerate(nums):\n        need = target - value\n        if need in seen:\n            cand = (seen[need], i)\n            if best is None or cand < best:\n                best = cand\n        if value not in seen:\n            seen[value] = i\n    return best\n", "test_solution.py": "import unittest\nfrom solution import pair_indices\n\nclass Test(unittest.TestCase):\n    def test_pair(self):\n        self.assertEqual(pair_indices([2, 7, 11, 15], 9), (0, 1))\n    def test_none(self):\n        self.assertIsNone(pair_indices([1, 2, 3], 100))\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-two-sum-index-9c2e41fc19d9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.675, "tests": 0.0, "total": 4.2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "two_sum_index", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `pair_indices(nums, target)` returning a pair of distinct indices\ni < j such that nums[i] + nums[j] == target, or None. Prefer the lexicographically\nsmallest (i, j).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def pair_indices(nums, target):\n seen = {}\n best = None\n for i, value in enumerate(nums):\n need = target - value\n if need in seen:\n cand = (seen[need], i)\n if best is None or cand < best:\n best = cand\n if value not in seen:\n seen[value] = i\n return best", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_none (test_solution.Test.test_none) ... ok\ntest_pair (test_solution.Test.test_pair) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def within_edit(a, b, k):\n if abs(len(a) - len(b)) > k:\n return False\n prev = list(range(len(b) + 1))\n for i, ca in enumerate(a, start=1):\n row = [i]\n for j, cb in enumerate(b, start=1):\n cost = 0 if ca == cb else 1\n row.append(min(row[j - 1] + 1, prev[j] + 1, prev[j - 1] + cost))\n prev = row\n return prev[-1] <= k", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def within_edit(a, b, k):\n    if abs(len(a) - len(b)) > k:\n        return False\n    prev = list(range(len(b) + 1))\n    for i, ca in enumerate(a, start=1):\n        row = [i]\n        for j, cb in enumerate(b, start=1):\n            cost = 0 if ca == cb else 1\n            row.append(min(row[j - 1] + 1, prev[j] + 1, prev[j - 1] + cost))\n        prev = row\n    return prev[-1] <= k\n", "test_solution.py": "import unittest\nfrom solution import within_edit\n\nclass Test(unittest.TestCase):\n    def test_k(self):\n        self.assertTrue(within_edit(\"kitten\", \"sitting\", 3))\n        self.assertFalse(within_edit(\"kitten\", \"sitting\", 2))\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-edit-distance-k-d9911a04d868", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.5, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 5.550000000000001}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "edit_distance_k", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `within_edit(a, b, k)` True iff Levenshtein distance(a, b) <= k.\nYou may use DP. Strings are short.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def within_edit(a, b, k):\n if abs(len(a) - len(b)) > k:\n return False\n prev = list(range(len(b) + 1))\n for i, ca in enumerate(a, start=1):\n row = [i]\n for j, cb in enumerate(b, start=1):\n cost = 0 if ca == cb else 1\n row.append(min(row[j - 1] + 1, prev[j] + 1, prev[j - 1] + cost))\n prev = row\n return prev[-1] <= k", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_k (test_solution.Test.test_k) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def has_cycle(head):\n slow = head\n fast = head\n while fast and fast[\"n\"]:\n slow = slow[\"n\"]\n fast = fast[\"n\"][\"n\"]\n if slow is fast:\n return True\n return False", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def has_cycle(head):\n    slow = head\n    fast = head\n    while fast and fast[\"n\"]:\n        slow = slow[\"n\"]\n        fast = fast[\"n\"][\"n\"]\n        if slow is fast:\n            return True\n    return False\n", "test_solution.py": "import unittest\nfrom solution import has_cycle\n\nclass Test(unittest.TestCase):\n    def test_cycle(self):\n        a = {\"v\": 1, \"n\": None}\n        b = {\"v\": 2, \"n\": None}\n        c = {\"v\": 3, \"n\": None}\n        a[\"n\"], b[\"n\"], c[\"n\"] = b, c, b\n        self.assertTrue(has_cycle(a))\n        d = {\"v\": 1, \"n\": {\"v\": 2, \"n\": None}}\n        self.assertFalse(has_cycle(d))\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-cycle-list-4961dd97c673", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.575, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 3.625}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "cycle_list", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Represent a singly linked list as nodes `{\"v\": value, \"n\": next_or_None}`.\nImplement `has_cycle(head)` using constant extra memory (Floyd).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def has_cycle(head):\n slow = head\n fast = head\n while fast and fast[\"n\"]:\n slow = slow[\"n\"]\n fast = fast[\"n\"][\"n\"]\n if slow is fast:\n return True\n return False", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_cycle (test_solution.Test.test_cycle) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def has_cycle(head):\n slow = head\n fast = head\n while fast and fast[\"n\"]:\n slow = slow[\"n\"]\n fast = fast[\"n\"][\"n\"]\n if slow is fast:\n return True\n return False", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_cycle (test_solution.Test.test_cycle) ... FAIL\n\n======================================================================\nFAIL: test_cycle (test_solution.Test.test_cycle)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-tedosbbj\\test_solution.py\", line 10, in test_cycle\n    self.assertTrue(has_cycle(a))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def has_cycle(head):\n    slow = head\n    fast = head\n    while fast and fast[\"n\"]:\n        slow = slow[\"n\"]\n        fast = fast[\"n\"][\"n\"]\n        if slow is fast:\n            return False\n    return False\n", "test_solution.py": "import unittest\nfrom solution import has_cycle\n\nclass Test(unittest.TestCase):\n    def test_cycle(self):\n        a = {\"v\": 1, \"n\": None}\n        b = {\"v\": 2, \"n\": None}\n        c = {\"v\": 3, \"n\": None}\n        a[\"n\"], b[\"n\"], c[\"n\"] = b, c, b\n        self.assertTrue(has_cycle(a))\n        d = {\"v\": 1, \"n\": {\"v\": 2, \"n\": None}}\n        self.assertFalse(has_cycle(d))\n"}}, "topic": "data_structures"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-cycle-list-79cf4e96398f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.575, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.875}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_cycle (test_solution.Test.test_cycle) ... FAIL\n\n======================================================================\nFAIL: test_cycle (test_solution.Test.test_cycle)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-tedosbbj\\test_solution.py\", line 10, in test_cycle\n    self.assertTrue(has_cycle(a))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "cycle_list", "tests_passed_after_fix": 1, "topic": "data_structures"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nRepresent a singly linked list as nodes `{\"v\": value, \"n\": next_or_None}`.\nImplement `has_cycle(head)` using constant extra memory (Floyd).\n\n--- solution.py (buggy) ---\ndef has_cycle(head):\n slow = head\n fast = head\n while fast and fast[\"n\"]:\n slow = slow[\"n\"]\n fast = fast[\"n\"][\"n\"]\n if slow is fast:\n return False\n return False\n\n--- test_solution.py ---\nimport unittest\nfrom solution import has_cycle\n\nclass Test(unittest.TestCase):\n def test_cycle(self):\n a = {\"v\": 1, \"n\": None}\n b = {\"v\": 2, \"n\": None}\n c = {\"v\": 3, \"n\": None}\n a[\"n\"], b[\"n\"], c[\"n\"] = b, c, b\n self.assertTrue(has_cycle(a))\n d = {\"v\": 1, \"n\": {\"v\": 2, \"n\": None}}\n self.assertFalse(has_cycle(d))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_cycle (test_solution.Test.test_cycle) ... FAIL\n\n======================================================================\nFAIL: test_cycle (test_solution.Test.test_cycle)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-tedosbbj\\test_solution.py\", line 10, in test_cycle\n self.assertTrue(has_cycle(a))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def has_cycle(head):\n slow = head\n fast = head\n while fast and fast[\"n\"]:\n slow = slow[\"n\"]\n fast = fast[\"n\"][\"n\"]\n if slow is fast:\n return True\n return False", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_cycle (test_solution.Test.test_cycle) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def is_bst(root, lo=None, hi=None):\n if root is None:\n return True\n v = root[\"v\"]\n if lo is not None and v <= lo:\n return False\n if hi is not None and v >= hi:\n return False\n return is_bst(root[\"l\"], lo, v) and is_bst(root[\"r\"], v, hi)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def is_bst(root, lo=None, hi=None):\n    if root is None:\n        return True\n    v = root[\"v\"]\n    if lo is not None and v <= lo:\n        return False\n    if hi is not None and v >= hi:\n        return False\n    return is_bst(root[\"l\"], lo, v) and is_bst(root[\"r\"], v, hi)\n", "test_solution.py": "import unittest\nfrom solution import is_bst\n\nclass Test(unittest.TestCase):\n    def test_ok(self):\n        tree = {\"v\": 2, \"l\": {\"v\": 1, \"l\": None, \"r\": None}, \"r\": {\"v\": 3, \"l\": None, \"r\": None}}\n        self.assertTrue(is_bst(tree))\n    def test_bad(self):\n        tree = {\"v\": 1, \"l\": {\"v\": 2, \"l\": None, \"r\": None}, \"r\": None}\n        self.assertFalse(is_bst(tree))\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-bst-validate-4c158319df27", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 3.6750000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "bst_validate", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Nodes are `{\"v\": int, \"l\": node|None, \"r\": node|None}`. Implement\n`is_bst(root)` with strict ordering (left < v < right) for the whole tree.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def is_bst(root, lo=None, hi=None):\n if root is None:\n return True\n v = root[\"v\"]\n if lo is not None and v <= lo:\n return False\n if hi is not None and v >= hi:\n return False\n return is_bst(root[\"l\"], lo, v) and is_bst(root[\"r\"], v, hi)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_ok (test_solution.Test.test_ok) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def is_bst(root, lo=None, hi=None):\n if root is None:\n return True\n v = root[\"v\"]\n if lo is not None and v <= lo:\n return False\n if hi is not None and v >= hi:\n return False\n return is_bst(root[\"l\"], lo, v) and is_bst(root[\"r\"], v, hi)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_bad (test_solution.Test.test_bad) ... ok\ntest_ok (test_solution.Test.test_ok) ... FAIL\n\n======================================================================\nFAIL: test_ok (test_solution.Test.test_ok)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xvkxd8ue\\test_solution.py\", line 7, in test_ok\n    self.assertTrue(is_bst(tree))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def is_bst(root, lo=None, hi=None):\n    if root is None:\n        return False\n    v = root[\"v\"]\n    if lo is not None and v <= lo:\n        return False\n    if hi is not None and v >= hi:\n        return False\n    return is_bst(root[\"l\"], lo, v) and is_bst(root[\"r\"], v, hi)\n", "test_solution.py": "import unittest\nfrom solution import is_bst\n\nclass Test(unittest.TestCase):\n    def test_ok(self):\n        tree = {\"v\": 2, \"l\": {\"v\": 1, \"l\": None, \"r\": None}, \"r\": {\"v\": 3, \"l\": None, \"r\": None}}\n        self.assertTrue(is_bst(tree))\n    def test_bad(self):\n        tree = {\"v\": 1, \"l\": {\"v\": 2, \"l\": None, \"r\": None}, \"r\": None}\n        self.assertFalse(is_bst(tree))\n"}}, "topic": "data_structures"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-bst-validate-d1688f26fc9f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.825}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_ok (test_solution.Test.test_ok) ... FAIL\n\n======================================================================\nFAIL: test_ok (test_solution.Test.test_ok)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xvkxd8ue\\test_solution.py\", line 7, in test_ok\n    self.assertTrue(is_bst(tree))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "bst_validate", "tests_passed_after_fix": 2, "topic": "data_structures"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nNodes are `{\"v\": int, \"l\": node|None, \"r\": node|None}`. Implement\n`is_bst(root)` with strict ordering (left < v < right) for the whole tree.\n\n--- solution.py (buggy) ---\ndef is_bst(root, lo=None, hi=None):\n if root is None:\n return False\n v = root[\"v\"]\n if lo is not None and v <= lo:\n return False\n if hi is not None and v >= hi:\n return False\n return is_bst(root[\"l\"], lo, v) and is_bst(root[\"r\"], v, hi)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import is_bst\n\nclass Test(unittest.TestCase):\n def test_ok(self):\n tree = {\"v\": 2, \"l\": {\"v\": 1, \"l\": None, \"r\": None}, \"r\": {\"v\": 3, \"l\": None, \"r\": None}}\n self.assertTrue(is_bst(tree))\n def test_bad(self):\n tree = {\"v\": 1, \"l\": {\"v\": 2, \"l\": None, \"r\": None}, \"r\": None}\n self.assertFalse(is_bst(tree))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_bad (test_solution.Test.test_bad) ... ok\ntest_ok (test_solution.Test.test_ok) ... FAIL\n\n======================================================================\nFAIL: test_ok (test_solution.Test.test_ok)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xvkxd8ue\\test_solution.py\", line 7, in test_ok\n self.assertTrue(is_bst(tree))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:41Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def is_bst(root, lo=None, hi=None):\n if root is None:\n return True\n v = root[\"v\"]\n if lo is not None and v <= lo:\n return False\n if hi is not None and v >= hi:\n return False\n return is_bst(root[\"l\"], lo, v) and is_bst(root[\"r\"], v, hi)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_ok (test_solution.Test.test_ok) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def parse_flags(argv):\n flags = {}\n args = []\n i = 0\n while i < len(argv):\n tok = argv[i]\n if tok == \"--verbose\":\n flags[\"verbose\"] = True\n i += 1\n elif tok.startswith(\"--\"):\n name = tok[2:]\n if i + 1 >= len(argv):\n raise ValueError(\"missing\")\n flags[name] = argv[i + 1]\n i += 2\n else:\n args.append(tok)\n i += 1\n return {\"flags\": flags, \"args\": args}", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def parse_flags(argv):\n    flags = {}\n    args = []\n    i = 0\n    while i < len(argv):\n        tok = argv[i]\n        if tok == \"--verbose\":\n            flags[\"verbose\"] = True\n            i += 1\n        elif tok.startswith(\"--\"):\n            name = tok[2:]\n            if i + 1 >= len(argv):\n                raise ValueError(\"missing\")\n            flags[name] = argv[i + 1]\n            i += 2\n        else:\n            args.append(tok)\n            i += 1\n    return {\"flags\": flags, \"args\": args}\n", "test_solution.py": "import unittest\nfrom solution import parse_flags\n\nclass Test(unittest.TestCase):\n    def test_mix(self):\n        got = parse_flags([\"--name\", \"or\", \"file\", \"--verbose\"])\n        self.assertEqual(got[\"flags\"][\"name\"], \"or\")\n        self.assertTrue(got[\"flags\"][\"verbose\"])\n        self.assertEqual(got[\"args\"], [\"file\"])\n"}}, "topic": "cli_development"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-cli-argv-1cfeb4dc50c7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.75, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.65, "tests": 0.0, "total": 7.0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "cli_argv", "topic": "cli_development"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `parse_flags(argv)` for a tiny CLI: flags `--name value` and\nboolean `--verbose` present-or-not. Remaining tokens are positional.\nReturn `{\"flags\": dict, \"args\": list}`. `--verbose` maps to True.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def parse_flags(argv):\n flags = {}\n args = []\n i = 0\n while i < len(argv):\n tok = argv[i]\n if tok == \"--verbose\":\n flags[\"verbose\"] = True\n i += 1\n elif tok.startswith(\"--\"):\n name = tok[2:]\n if i + 1 >= len(argv):\n raise ValueError(\"missing\")\n flags[name] = argv[i + 1]\n i += 2\n else:\n args.append(tok)\n i += 1\n return {\"flags\": flags, \"args\": args}", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_mix (test_solution.Test.test_mix) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def make_targets(text):\n names = []\n for raw in text.splitlines():\n if not raw or raw.startswith(\"\\t\") or raw.startswith(\" \") or raw.startswith(\"#\"):\n continue\n if \":\" not in raw:\n continue\n target = raw.split(\":\", 1)[0].strip()\n if target and target != \".PHONY\":\n names.append(target)\n return names", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def make_targets(text):\n    names = []\n    for raw in text.splitlines():\n        if not raw or raw.startswith(\"\\t\") or raw.startswith(\" \") or raw.startswith(\"#\"):\n            continue\n        if \":\" not in raw:\n            continue\n        target = raw.split(\":\", 1)[0].strip()\n        if target and target != \".PHONY\":\n            names.append(target)\n    return names\n", "test_solution.py": "import unittest\nfrom solution import make_targets\n\nclass Test(unittest.TestCase):\n    def test_names(self):\n        text = \".PHONY: all\\nall: build\\nbuild:\\n\\techo x\\n\"\n        self.assertEqual(make_targets(text), [\"all\", \"build\"])\n"}}, "topic": "build_systems"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-makefile-targets-d2abd26b36ee", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.5, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 3.6}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "makefile_targets", "topic": "build_systems"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `make_targets(text)` extracting target names from lines matching\n`target: deps` at column 0 (no leading whitespace). Skip `.PHONY` and comments.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def make_targets(text):\n names = []\n for raw in text.splitlines():\n if not raw or raw.startswith(\"\\t\") or raw.startswith(\" \") or raw.startswith(\"#\"):\n continue\n if \":\" not in raw:\n continue\n target = raw.split(\":\", 1)[0].strip()\n if target and target != \".PHONY\":\n names.append(target)\n return names", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_names (test_solution.Test.test_names) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "import re\n\ndef junit_counts(xml):\n m = re.search(r\"<testsuite\\b[^>]*>\", xml)\n if not m:\n raise ValueError(\"no testsuite\")\n tag = m.group(0)\n tests = int(re.search(r'tests=\"(\\d+)\"', tag).group(1))\n failures = int(re.search(r'failures=\"(\\d+)\"', tag).group(1))\n return {\"tests\": tests, \"failures\": failures}", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\n\ndef junit_counts(xml):\n    m = re.search(r\"<testsuite\\b[^>]*>\", xml)\n    if not m:\n        raise ValueError(\"no testsuite\")\n    tag = m.group(0)\n    tests = int(re.search(r'tests=\"(\\d+)\"', tag).group(1))\n    failures = int(re.search(r'failures=\"(\\d+)\"', tag).group(1))\n    return {\"tests\": tests, \"failures\": failures}\n", "test_solution.py": "import unittest\nfrom solution import junit_counts\n\nclass Test(unittest.TestCase):\n    def test_parse(self):\n        xml = '<testsuite tests=\"10\" failures=\"2\"></testsuite>'\n        self.assertEqual(junit_counts(xml), {\"tests\": 10, \"failures\": 2})\n"}}, "topic": "ci_cd"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-ci-junit-counts-bd792f4e3f79", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 4.65}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "ci_junit_counts", "topic": "ci_cd"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `junit_counts(xml)` for a tiny subset: count `failures=` and\n`tests=` on the first `<testsuite ...>` tag using regex. Return\n`{\"tests\": int, \"failures\": int}`.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\n\ndef junit_counts(xml):\n m = re.search(r\"<testsuite\\b[^>]*>\", xml)\n if not m:\n raise ValueError(\"no testsuite\")\n tag = m.group(0)\n tests = int(re.search(r'tests=\"(\\d+)\"', tag).group(1))\n failures = int(re.search(r'failures=\"(\\d+)\"', tag).group(1))\n return {\"tests\": tests, \"failures\": failures}", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_parse (test_solution.Test.test_parse) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def backoff_delays(retries, base, cap):\n return [min(cap, base * (2 ** i)) for i in range(retries)]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def backoff_delays(retries, base, cap):\n    return [min(cap, base * (2 ** i)) for i in range(retries)]\n", "test_solution.py": "import unittest\nfrom solution import backoff_delays\n\nclass Test(unittest.TestCase):\n    def test_cap(self):\n        self.assertEqual(backoff_delays(5, 1, 8), [1, 2, 4, 8, 8])\n"}}, "topic": "devops"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-healthcheck-backoff-7f8970814d92", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.25, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 4.550000000000001}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "healthcheck_backoff", "topic": "devops"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `backoff_delays(retries, base, cap)` returning a list of length\n`retries` with delays min(cap, base * 2**i) for i=0..retries-1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def backoff_delays(retries, base, cap):\n return [min(cap, base * (2 ** i)) for i in range(retries)]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_cap (test_solution.Test.test_cap) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def majority(nums):\n vote = 0\n cand = None\n for x in nums:\n if vote == 0:\n cand = x\n vote += 1 if x == cand else -1\n return cand", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def majority(nums):\n    vote = 0\n    cand = None\n    for x in nums:\n        if vote == 0:\n            cand = x\n        vote += 1 if x == cand else -1\n    return cand\n", "test_solution.py": "import unittest\nfrom solution import majority\n\nclass Test(unittest.TestCase):\n    def test_maj(self):\n        self.assertEqual(majority([1, 2, 1, 1, 3, 1, 1]), 1)\n"}}, "topic": "performance_optimization"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-hot-path-count-07accf47237f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.775, "tests": 0.0, "total": 4.525}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "hot_path_count", "topic": "performance_optimization"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `majority_nlogn_forbidden(nums)` finding the element that\nappears more than n/2 times. Use Boyer-Moore. Guarantee O(n) time, O(1) extra\nmemory aside from the input. The input is guaranteed to have a majority.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def majority(nums):\n vote = 0\n cand = None\n for x in nums:\n if vote == 0:\n cand = x\n vote += 1 if x == cand else -1\n return cand", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_maj (test_solution.Test.test_maj) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "class BumpArena:\n def __init__(self, size):\n self.size = size\n self.offset = 0\n\n def alloc(self, n):\n if n < 0 or self.offset + n > self.size:\n return None\n start = self.offset\n self.offset += n\n return start\n\n def reset(self):\n self.offset = 0", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "class BumpArena:\n    def __init__(self, size):\n        self.size = size\n        self.offset = 0\n\n    def alloc(self, n):\n        if n < 0 or self.offset + n > self.size:\n            return None\n        start = self.offset\n        self.offset += n\n        return start\n\n    def reset(self):\n        self.offset = 0\n", "test_solution.py": "import unittest\nfrom solution import BumpArena\n\nclass Test(unittest.TestCase):\n    def test_alloc(self):\n        a = BumpArena(10)\n        self.assertEqual(a.alloc(4), 0)\n        self.assertEqual(a.alloc(4), 4)\n        self.assertIsNone(a.alloc(4))\n        a.reset()\n        self.assertEqual(a.alloc(10), 0)\n"}}, "topic": "memory_management"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-arena-bump-f435a0b50f59", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.7, "tests": 0.0, "total": 4.475}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "arena_bump", "topic": "memory_management"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement class `BumpArena(size)` with `alloc(n)` returning the start\noffset of n contiguous bytes or None if it will not fit, and `reset()` to\nfree everything. No coalescing needed.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "class BumpArena:\n def __init__(self, size):\n self.size = size\n self.offset = 0\n\n def alloc(self, n):\n if n < 0 or self.offset + n > self.size:\n return None\n start = self.offset\n self.offset += n\n return start\n\n def reset(self):\n self.offset = 0", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_alloc (test_solution.Test.test_alloc) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "class BumpArena:\n def __init__(self, size):\n self.size = size\n self.offset = 0\n\n def alloc(self, n):\n if n < 0 or self.offset + n > self.size:\n return None\n start = self.offset\n self.offset += n\n return start\n\n def reset(self):\n self.offset = 0", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_alloc (test_solution.Test.test_alloc) ... FAIL\n\n======================================================================\nFAIL: test_alloc (test_solution.Test.test_alloc)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-oeyqmzwt\\test_solution.py\", line 9, in test_alloc\n    self.assertIsNone(a.alloc(4))\n    ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: 8 is not None\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "class BumpArena:\n    def __init__(self, size):\n        self.size = size\n        self.offset = 0\n\n    def alloc(self, n):\n        if n < 0 or self.offset - n > self.size:\n            return None\n        start = self.offset\n        self.offset += n\n        return start\n\n    def reset(self):\n        self.offset = 0\n", "test_solution.py": "import unittest\nfrom solution import BumpArena\n\nclass Test(unittest.TestCase):\n    def test_alloc(self):\n        a = BumpArena(10)\n        self.assertEqual(a.alloc(4), 0)\n        self.assertEqual(a.alloc(4), 4)\n        self.assertIsNone(a.alloc(4))\n        a.reset()\n        self.assertEqual(a.alloc(10), 0)\n"}}, "topic": "memory_management"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-arena-bump-0a164922164a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.975}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_alloc (test_solution.Test.test_alloc) ... FAIL\n\n======================================================================\nFAIL: test_alloc (test_solution.Test.test_alloc)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-oeyqmzwt\\test_solution.py\", line 9, in test_alloc\n    self.assertIsNone(a.alloc(4))\n    ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: 8 is not None\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "arena_bump", "tests_passed_after_fix": 1, "topic": "memory_management"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement class `BumpArena(size)` with `alloc(n)` returning the start\noffset of n contiguous bytes or None if it will not fit, and `reset()` to\nfree everything. No coalescing needed.\n\n--- solution.py (buggy) ---\nclass BumpArena:\n def __init__(self, size):\n self.size = size\n self.offset = 0\n\n def alloc(self, n):\n if n < 0 or self.offset - n > self.size:\n return None\n start = self.offset\n self.offset += n\n return start\n\n def reset(self):\n self.offset = 0\n\n--- test_solution.py ---\nimport unittest\nfrom solution import BumpArena\n\nclass Test(unittest.TestCase):\n def test_alloc(self):\n a = BumpArena(10)\n self.assertEqual(a.alloc(4), 0)\n self.assertEqual(a.alloc(4), 4)\n self.assertIsNone(a.alloc(4))\n a.reset()\n self.assertEqual(a.alloc(10), 0)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_alloc (test_solution.Test.test_alloc) ... FAIL\n\n======================================================================\nFAIL: test_alloc (test_solution.Test.test_alloc)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-oeyqmzwt\\test_solution.py\", line 9, in test_alloc\n self.assertIsNone(a.alloc(4))\n ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: 8 is not None\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "class BumpArena:\n def __init__(self, size):\n self.size = size\n self.offset = 0\n\n def alloc(self, n):\n if n < 0 or self.offset + n > self.size:\n return None\n start = self.offset\n self.offset += n\n return start\n\n def reset(self):\n self.offset = 0", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_alloc (test_solution.Test.test_alloc) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def c_idents(source):\n ident = []\n out = []\n i = 0\n n = len(source)\n while i < n:\n ch = source[i]\n if ch == '\"':\n i += 1\n while i < n:\n if source[i] == \"\\\\\":\n i += 2\n continue\n if source[i] == '\"':\n i += 1\n break\n i += 1\n continue\n if ch.isalnum() or ch == \"_\":\n j = i\n while j < n and (source[j].isalnum() or source[j] == \"_\"):\n j += 1\n token = source[i:j]\n if token[0].isalpha() or token[0] == \"_\":\n out.append(token)\n i = j\n continue\n i += 1\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def c_idents(source):\n    ident = []\n    out = []\n    i = 0\n    n = len(source)\n    while i < n:\n        ch = source[i]\n        if ch == '\"':\n            i += 1\n            while i < n:\n                if source[i] == \"\\\\\":\n                    i += 2\n                    continue\n                if source[i] == '\"':\n                    i += 1\n                    break\n                i += 1\n            continue\n        if ch.isalnum() or ch == \"_\":\n            j = i\n            while j < n and (source[j].isalnum() or source[j] == \"_\"):\n                j += 1\n            token = source[i:j]\n            if token[0].isalpha() or token[0] == \"_\":\n                out.append(token)\n            i = j\n            continue\n        i += 1\n    return out\n", "test_solution.py": "import unittest\nfrom solution import c_idents\n\nclass Test(unittest.TestCase):\n    def test_skip_string(self):\n        src = 'int x = \"not_an_ident\"; y = 1;'\n        self.assertEqual(c_idents(src), [\"int\", \"x\", \"y\"])\n"}}, "topic": "compiler_development"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-tokenize-c-idents-85906e6bb602", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.95, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.65, "tests": 0.0, "total": 6.575}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "tokenize_c_idents", "topic": "compiler_development"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `c_idents(source)` returning identifiers matching\n`[A-Za-z_][A-Za-z0-9_]*` in order, skipping those inside double-quoted strings.\nDo not handle escapes other than `\\\\` and `\\\"`. Comments are not supported.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def c_idents(source):\n ident = []\n out = []\n i = 0\n n = len(source)\n while i < n:\n ch = source[i]\n if ch == '\"':\n i += 1\n while i < n:\n if source[i] == \"\\\\\":\n i += 2\n continue\n if source[i] == '\"':\n i += 1\n break\n i += 1\n continue\n if ch.isalnum() or ch == \"_\":\n j = i\n while j < n and (source[j].isalnum() or source[j] == \"_\"):\n j += 1\n token = source[i:j]\n if token[0].isalpha() or token[0] == \"_\":\n out.append(token)\n i = j\n continue\n i += 1\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_skip_string (test_solution.Test.test_skip_string) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def c_idents(source):\n ident = []\n out = []\n i = 0\n n = len(source)\n while i < n:\n ch = source[i]\n if ch == '\"':\n i += 1\n while i < n:\n if source[i] == \"\\\\\":\n i += 2\n continue\n if source[i] == '\"':\n i += 1\n break\n i += 1\n continue\n if ch.isalnum() or ch == \"_\":\n j = i\n while j < n and (source[j].isalnum() or source[j] == \"_\"):\n j += 1\n token = source[i:j]\n if token[0].isalpha() or token[0] == \"_\":\n out.append(token)\n i = j\n continue\n i += 1\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_skip_string (test_solution.Test.test_skip_string) ... FAIL\n\n======================================================================\nFAIL: test_skip_string (test_solution.Test.test_skip_string)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-lqx9jx_r\\test_solution.py\", line 7, in test_skip_string\n    self.assertEqual(c_idents(src), [\"int\", \"x\", \"y\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != ['int', 'x', 'y']\n\nSecond list contains 3 additional elements.\nFirst extra element 0:\n'int'\n\n- []\n+ ['int', 'x', 'y']\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def c_idents(source):\n    ident = []\n    out = []\n    i = 0\n    n = len(source)\n    while i < n:\n        ch = source[i]\n        if ch != '\"':\n            i += 1\n            while i < n:\n                if source[i] == \"\\\\\":\n                    i += 2\n                    continue\n                if source[i] == '\"':\n                    i += 1\n                    break\n                i += 1\n            continue\n        if ch.isalnum() or ch == \"_\":\n            j = i\n            while j < n and (source[j].isalnum() or source[j] == \"_\"):\n                j += 1\n            token = source[i:j]\n            if token[0].isalpha() or token[0] == \"_\":\n                out.append(token)\n            i = j\n            continue\n        i += 1\n    return out\n", "test_solution.py": "import unittest\nfrom solution import c_idents\n\nclass Test(unittest.TestCase):\n    def test_skip_string(self):\n        src = 'int x = \"not_an_ident\"; y = 1;'\n        self.assertEqual(c_idents(src), [\"int\", \"x\", \"y\"])\n"}}, "topic": "compiler_development"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-tokenize-c-idents-965f39a6d8db", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.95, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.25}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_skip_string (test_solution.Test.test_skip_string) ... FAIL\n\n======================================================================\nFAIL: test_skip_string (test_solution.Test.test_skip_string)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-lqx9jx_r\\test_solution.py\", line 7, in test_skip_string\n    self.assertEqual(c_idents(src), [\"int\", \"x\", \"y\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != ['int', 'x', 'y']\n\nSecond list contains 3 additional elements.\nFirst extra element 0:\n'int'\n\n- []\n+ ['int', 'x', 'y']\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "tokenize_c_idents", "tests_passed_after_fix": 1, "topic": "compiler_development"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `c_idents(source)` returning identifiers matching\n`[A-Za-z_][A-Za-z0-9_]*` in order, skipping those inside double-quoted strings.\nDo not handle escapes other than `\\\\` and `\\\"`. Comments are not supported.\n\n--- solution.py (buggy) ---\ndef c_idents(source):\n ident = []\n out = []\n i = 0\n n = len(source)\n while i < n:\n ch = source[i]\n if ch != '\"':\n i += 1\n while i < n:\n if source[i] == \"\\\\\":\n i += 2\n continue\n if source[i] == '\"':\n i += 1\n break\n i += 1\n continue\n if ch.isalnum() or ch == \"_\":\n j = i\n while j < n and (source[j].isalnum() or source[j] == \"_\"):\n j += 1\n token = source[i:j]\n if token[0].isalpha() or token[0] == \"_\":\n out.append(token)\n i = j\n continue\n i += 1\n return out\n\n--- test_solution.py ---\nimport unittest\nfrom solution import c_idents\n\nclass Test(unittest.TestCase):\n def test_skip_string(self):\n src = 'int x = \"not_an_ident\"; y = 1;'\n self.assertEqual(c_idents(src), [\"int\", \"x\", \"y\"])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_skip_string (test_solution.Test.test_skip_string) ... FAIL\n\n======================================================================\nFAIL: test_skip_string (test_solution.Test.test_skip_string)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-lqx9jx_r\\test_solution.py\", line 7, in test_skip_string\n self.assertEqual(c_idents(src), [\"int\", \"x\", \"y\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != ['int', 'x', 'y']\n\nSecond list contains 3 additional elements.\nFirst extra element 0:\n'int'\n\n- []\n+ ['int', 'x', 'y']\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def c_idents(source):\n ident = []\n out = []\n i = 0\n n = len(source)\n while i < n:\n ch = source[i]\n if ch == '\"':\n i += 1\n while i < n:\n if source[i] == \"\\\\\":\n i += 2\n continue\n if source[i] == '\"':\n i += 1\n break\n i += 1\n continue\n if ch.isalnum() or ch == \"_\":\n j = i\n while j < n and (source[j].isalnum() or source[j] == \"_\"):\n j += 1\n token = source[i:j]\n if token[0].isalpha() or token[0] == \"_\":\n out.append(token)\n i = j\n continue\n i += 1\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_skip_string (test_solution.Test.test_skip_string) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "class Rc:\n def __init__(self):\n self.count = 1\n\n def inc(self):\n self.count += 1\n\n def dec(self):\n if self.count <= 0:\n raise ValueError(\"underflow\")\n self.count -= 1\n\n def alive(self):\n return self.count > 0", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "class Rc:\n    def __init__(self):\n        self.count = 1\n\n    def inc(self):\n        self.count += 1\n\n    def dec(self):\n        if self.count <= 0:\n            raise ValueError(\"underflow\")\n        self.count -= 1\n\n    def alive(self):\n        return self.count > 0\n", "test_solution.py": "import unittest\nfrom solution import Rc\n\nclass Test(unittest.TestCase):\n    def test_rc(self):\n        r = Rc()\n        r.inc()\n        r.dec()\n        self.assertTrue(r.alive())\n        r.dec()\n        self.assertFalse(r.alive())\n"}}, "topic": "language_design"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-refcount-toy-e57fc477513c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 4.275}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "refcount_toy", "topic": "language_design"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement class `Rc` with `inc()`, `dec()`, and `alive()` for a toy\nrefcount. `dec` below zero raises ValueError. Start at 1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "class Rc:\n def __init__(self):\n self.count = 1\n\n def inc(self):\n self.count += 1\n\n def dec(self):\n if self.count <= 0:\n raise ValueError(\"underflow\")\n self.count -= 1\n\n def alive(self):\n return self.count > 0", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_rc (test_solution.Test.test_rc) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def zip_fill(*seqs, fill=None):\n seqs = [list(s) for s in seqs]\n if not seqs:\n return []\n n = max(len(s) for s in seqs)\n out = []\n for i in range(n):\n out.append(tuple(s[i] if i < len(s) else fill for s in seqs))\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def zip_fill(*seqs, fill=None):\n    seqs = [list(s) for s in seqs]\n    if not seqs:\n        return []\n    n = max(len(s) for s in seqs)\n    out = []\n    for i in range(n):\n        out.append(tuple(s[i] if i < len(s) else fill for s in seqs))\n    return out\n", "test_solution.py": "import unittest\nfrom solution import zip_fill\n\nclass Test(unittest.TestCase):\n    def test_pad(self):\n        self.assertEqual(zip_fill([1, 2], [\"a\"], fill=\"?\"), [(1, \"a\"), (2, \"?\")])\n"}}, "topic": "refactoring"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-zip-longest-fill-fa335858e41a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 3.875}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "zip_longest_fill", "topic": "refactoring"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `zip_fill(*seqs, fill=None)` equivalent to padding all sequences\nto the longest length then zipping. Return a list of tuples.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def zip_fill(*seqs, fill=None):\n seqs = [list(s) for s in seqs]\n if not seqs:\n return []\n n = max(len(s) for s in seqs)\n out = []\n for i in range(n):\n out.append(tuple(s[i] if i < len(s) else fill for s in seqs))\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_pad (test_solution.Test.test_pad) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def uncovered(lines, hit):\n seen = set(hit)\n return sorted(n for n in lines if n not in seen)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def uncovered(lines, hit):\n    seen = set(hit)\n    return sorted(n for n in lines if n not in seen)\n", "test_solution.py": "import unittest\nfrom solution import uncovered\n\nclass Test(unittest.TestCase):\n    def test_gap(self):\n        self.assertEqual(uncovered({1, 2, 3, 4}, [1, 1, 3]), [2, 4])\n"}}, "topic": "test_generation"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-coverage-uncovered-0981a6b7636b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.275, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 3.6750000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "coverage_uncovered", "topic": "test_generation"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `uncovered(lines, hit)` where `lines` is a set of executable line\nnumbers and `hit` is a list of line numbers executed (with duplicates). Return\nsorted executable lines that never appear in `hit`.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:42Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def uncovered(lines, hit):\n seen = set(hit)\n return sorted(n for n in lines if n not in seen)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_gap (test_solution.Test.test_gap) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def classify_flaky(results):\n if not results:\n raise ValueError(\"empty\")\n if all(results):\n return \"pass\"\n if not any(results):\n return \"fail\"\n return \"flaky\"", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def classify_flaky(results):\n    if not results:\n        raise ValueError(\"empty\")\n    if all(results):\n        return \"pass\"\n    if not any(results):\n        return \"fail\"\n    return \"flaky\"\n", "test_solution.py": "import unittest\nfrom solution import classify_flaky\n\nclass Test(unittest.TestCase):\n    def test_kinds(self):\n        self.assertEqual(classify_flaky([True, True]), \"pass\")\n        self.assertEqual(classify_flaky([False, False]), \"fail\")\n        self.assertEqual(classify_flaky([True, False, True]), \"flaky\")\n"}}, "topic": "test_debugging"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-flake-rerun-0082fc318002", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 3.8000000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "flake_rerun", "topic": "test_debugging"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `classify_flaky(results)` where results is a list of bool pass/fail\nfor the same test. Return `pass` if all True, `fail` if all False, `flaky` otherwise.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def classify_flaky(results):\n if not results:\n raise ValueError(\"empty\")\n if all(results):\n return \"pass\"\n if not any(results):\n return \"fail\"\n return \"flaky\"", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_kinds (test_solution.Test.test_kinds) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def nested_loop_depth(source):\n best = 0\n for raw in source.splitlines():\n if not raw.strip():\n continue\n indent = (len(raw) - len(raw.lstrip(\" \"))) // 4\n stripped = raw.strip()\n if stripped.startswith(\"for \") or stripped.startswith(\"while \"):\n best = max(best, indent + 1)\n return best", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def nested_loop_depth(source):\n    best = 0\n    for raw in source.splitlines():\n        if not raw.strip():\n            continue\n        indent = (len(raw) - len(raw.lstrip(\" \"))) // 4\n        stripped = raw.strip()\n        if stripped.startswith(\"for \") or stripped.startswith(\"while \"):\n            best = max(best, indent + 1)\n    return best\n", "test_solution.py": "import unittest\nfrom solution import nested_loop_depth\n\nclass Test(unittest.TestCase):\n    def test_depth(self):\n        src = \"for a in x:\\n    for b in y:\\n        z()\\n\"\n        self.assertEqual(nested_loop_depth(src), 2)\n"}}, "topic": "code_review"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-review-complexity-8e95f6406df3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.775, "tests": 0.0, "total": 4.975}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "review_complexity", "topic": "code_review"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `nested_loop_depth(source)` counting the maximum nesting of\nlines that strip-start with `for ` or `while ` based on leading indent (4 spaces).\nThis is a review heuristic, not a Python parser.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def nested_loop_depth(source):\n best = 0\n for raw in source.splitlines():\n if not raw.strip():\n continue\n indent = (len(raw) - len(raw.lstrip(\" \"))) // 4\n stripped = raw.strip()\n if stripped.startswith(\"for \") or stripped.startswith(\"while \"):\n best = max(best, indent + 1)\n return best", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_depth (test_solution.Test.test_depth) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def nested_loop_depth(source):\n best = 0\n for raw in source.splitlines():\n if not raw.strip():\n continue\n indent = (len(raw) - len(raw.lstrip(\" \"))) // 4\n stripped = raw.strip()\n if stripped.startswith(\"for \") or stripped.startswith(\"while \"):\n best = max(best, indent + 1)\n return best", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_depth (test_solution.Test.test_depth) ... FAIL\n\n======================================================================\nFAIL: test_depth (test_solution.Test.test_depth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0nqc8nks\\test_solution.py\", line 7, in test_depth\n    self.assertEqual(nested_loop_depth(src), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 2\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def nested_loop_depth(source):\n    best = 0\n    for raw in source.splitlines():\n        if not raw.strip():\n            continue\n        indent = (len(raw) - len(raw.lstrip(\" \"))) // 4\n        stripped = raw.strip()\n        if stripped.startswith(\"for \") or stripped.startswith(\"while \"):\n            best = max(best, indent - 1)\n    return best\n", "test_solution.py": "import unittest\nfrom solution import nested_loop_depth\n\nclass Test(unittest.TestCase):\n    def test_depth(self):\n        src = \"for a in x:\\n    for b in y:\\n        z()\\n\"\n        self.assertEqual(nested_loop_depth(src), 2)\n"}}, "topic": "code_review"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-review-complexity-64bf08596207", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.774999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_depth (test_solution.Test.test_depth) ... FAIL\n\n======================================================================\nFAIL: test_depth (test_solution.Test.test_depth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0nqc8nks\\test_solution.py\", line 7, in test_depth\n    self.assertEqual(nested_loop_depth(src), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 2\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "review_complexity", "tests_passed_after_fix": 1, "topic": "code_review"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `nested_loop_depth(source)` counting the maximum nesting of\nlines that strip-start with `for ` or `while ` based on leading indent (4 spaces).\nThis is a review heuristic, not a Python parser.\n\n--- solution.py (buggy) ---\ndef nested_loop_depth(source):\n best = 0\n for raw in source.splitlines():\n if not raw.strip():\n continue\n indent = (len(raw) - len(raw.lstrip(\" \"))) // 4\n stripped = raw.strip()\n if stripped.startswith(\"for \") or stripped.startswith(\"while \"):\n best = max(best, indent - 1)\n return best\n\n--- test_solution.py ---\nimport unittest\nfrom solution import nested_loop_depth\n\nclass Test(unittest.TestCase):\n def test_depth(self):\n src = \"for a in x:\\n for b in y:\\n z()\\n\"\n self.assertEqual(nested_loop_depth(src), 2)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_depth (test_solution.Test.test_depth) ... FAIL\n\n======================================================================\nFAIL: test_depth (test_solution.Test.test_depth)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0nqc8nks\\test_solution.py\", line 7, in test_depth\n self.assertEqual(nested_loop_depth(src), 2)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 2\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def nested_loop_depth(source):\n best = 0\n for raw in source.splitlines():\n if not raw.strip():\n continue\n indent = (len(raw) - len(raw.lstrip(\" \"))) // 4\n stripped = raw.strip()\n if stripped.startswith(\"for \") or stripped.startswith(\"while \"):\n best = max(best, indent + 1)\n return best", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_depth (test_solution.Test.test_depth) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def decode_uleb128(data):\n result = 0\n shift = 0\n for i, byte in enumerate(data):\n result |= (byte & 0x7F) << shift\n if byte & 0x80 == 0:\n return result, i + 1\n shift += 7\n if shift > 35:\n raise ValueError(\"overflow\")\n raise ValueError(\"truncated\")", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def decode_uleb128(data):\n    result = 0\n    shift = 0\n    for i, byte in enumerate(data):\n        result |= (byte & 0x7F) << shift\n        if byte & 0x80 == 0:\n            return result, i + 1\n        shift += 7\n        if shift > 35:\n            raise ValueError(\"overflow\")\n    raise ValueError(\"truncated\")\n", "test_solution.py": "import unittest\nfrom solution import decode_uleb128\n\nclass Test(unittest.TestCase):\n    def test_small(self):\n        self.assertEqual(decode_uleb128(bytes([127])), (127, 1))\n    def test_multi(self):\n        self.assertEqual(decode_uleb128(bytes([0xE5, 0x8E, 0x26])), (624485, 3))\n"}}, "topic": "language_design"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-wasm-leb-u32-d0df71ce4311", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 4.05}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "wasm_leb_u32", "topic": "language_design"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `decode_uleb128(data: bytes)` decoding one unsigned LEB128\ninteger from the start of data and returning (value, bytes_consumed).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def decode_uleb128(data):\n result = 0\n shift = 0\n for i, byte in enumerate(data):\n result |= (byte & 0x7F) << shift\n if byte & 0x80 == 0:\n return result, i + 1\n shift += 7\n if shift > 35:\n raise ValueError(\"overflow\")\n raise ValueError(\"truncated\")", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_multi (test_solution.Test.test_multi) ... ok\ntest_small (test_solution.Test.test_small) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def decode_uleb128(data):\n result = 0\n shift = 0\n for i, byte in enumerate(data):\n result |= (byte & 0x7F) << shift\n if byte & 0x80 == 0:\n return result, i + 1\n shift += 7\n if shift > 35:\n raise ValueError(\"overflow\")\n raise ValueError(\"truncated\")", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_multi (test_solution.Test.test_multi) ... FAIL\ntest_small (test_solution.Test.test_small) ... ERROR\n\n======================================================================\nERROR: test_small (test_solution.Test.test_small)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0xe2v5mf\\test_solution.py\", line 6, in test_small\n    self.assertEqual(decode_uleb128(bytes([127])), (127, 1))\n                     ~~~~~~~~~~~~~~^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0xe2v5mf\\solution.py\", line 11, in decode_uleb128\n    raise ValueError(\"truncated\")\nValueError: truncated\n\n======================================================================\nFAIL: test_multi (test_solution.Test.test_multi)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0xe2v5mf\\test_solution.py\", line 8, in test_multi\n    self.assertEqual(decode_uleb128(bytes([0xE5, 0x8E, 0x26])), (624485, 3))\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Tuples differ: (101, 1) != (624485, 3)\n\nFirst differing element 0:\n101\n624485\n\n- (101, 1)\n+ (624485, 3)\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1, errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def decode_uleb128(data):\n    result = 0\n    shift = 0\n    for i, byte in enumerate(data):\n        result |= (byte & 0x7F) << shift\n        if byte & 0x80 != 0:\n            return result, i + 1\n        shift += 7\n        if shift > 35:\n            raise ValueError(\"overflow\")\n    raise ValueError(\"truncated\")\n", "test_solution.py": "import unittest\nfrom solution import decode_uleb128\n\nclass Test(unittest.TestCase):\n    def test_small(self):\n        self.assertEqual(decode_uleb128(bytes([127])), (127, 1))\n    def test_multi(self):\n        self.assertEqual(decode_uleb128(bytes([0xE5, 0x8E, 0x26])), (624485, 3))\n"}}, "topic": "language_design"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-wasm-leb-u32-e9afe132cbaf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.825}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_multi (test_solution.Test.test_multi) ... FAIL\ntest_small (test_solution.Test.test_small) ... ERROR\n\n======================================================================\nERROR: test_small (test_solution.Test.test_small)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0xe2v5mf\\test_solution.py\", line 6, in test_small\n    self.assertEqual(decode_uleb128(bytes([127])), (127, 1))\n                     ~~~~~~~~~~~~~~^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0xe2v5mf\\solution.py\", line 11, in decode_uleb128\n    raise ValueError(\"truncated\")\nValueError: truncated\n\n======================================================================\nFAIL: test_multi (test_solution.Test.test_multi)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0xe2v5mf\\test_solution.py\", line 8, in test_multi\n    self.assertEqual(decode_uleb128(bytes([0xE5, 0x8E, 0x26])), (624485, 3))\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Tuples differ: (101, 1) != (624485, 3)\n\nFirst differing element 0:\n101\n624485\n\n- (101, 1)\n+ (624485, 3)\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1, errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "wasm_leb_u32", "tests_passed_after_fix": 2, "topic": "language_design"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `decode_uleb128(data: bytes)` decoding one unsigned LEB128\ninteger from the start of data and returning (value, bytes_consumed).\n\n--- solution.py (buggy) ---\ndef decode_uleb128(data):\n result = 0\n shift = 0\n for i, byte in enumerate(data):\n result |= (byte & 0x7F) << shift\n if byte & 0x80 != 0:\n return result, i + 1\n shift += 7\n if shift > 35:\n raise ValueError(\"overflow\")\n raise ValueError(\"truncated\")\n\n--- test_solution.py ---\nimport unittest\nfrom solution import decode_uleb128\n\nclass Test(unittest.TestCase):\n def test_small(self):\n self.assertEqual(decode_uleb128(bytes([127])), (127, 1))\n def test_multi(self):\n self.assertEqual(decode_uleb128(bytes([0xE5, 0x8E, 0x26])), (624485, 3))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_multi (test_solution.Test.test_multi) ... FAIL\ntest_small (test_solution.Test.test_small) ... ERROR\n\n======================================================================\nERROR: test_small (test_solution.Test.test_small)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0xe2v5mf\\test_solution.py\", line 6, in test_small\n self.assertEqual(decode_uleb128(bytes([127])), (127, 1))\n ~~~~~~~~~~~~~~^^^^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0xe2v5mf\\solution.py\", line 11, in decode_uleb128\n raise ValueError(\"truncated\")\nValueError: truncated\n\n======================================================================\nFAIL: test_multi (test_solution.Test.test_multi)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0xe2v5mf\\test_solution.py\", line 8, in test_multi\n self.assertEqual(decode_uleb128(bytes([0xE5, 0x8E, 0x26])), (624485, 3))\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Tuples differ: (101, 1) != (624485, 3)\n\nFirst differing element 0:\n101\n624485\n\n- (101, 1)\n+ (624485, 3)\n\n------------------------------------------------------------------", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def decode_uleb128(data):\n result = 0\n shift = 0\n for i, byte in enumerate(data):\n result |= (byte & 0x7F) << shift\n if byte & 0x80 == 0:\n return result, i + 1\n shift += 7\n if shift > 35:\n raise ValueError(\"overflow\")\n raise ValueError(\"truncated\")", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_multi (test_solution.Test.test_multi) ... ok\ntest_small (test_solution.Test.test_small) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def glob_match(pat, name):\n def rec(i, j):\n if i == len(pat):\n return j == len(name)\n if pat[i] == \"*\":\n return rec(i + 1, j) or (j < len(name) and rec(i, j + 1))\n if j < len(name) and pat[i] == name[j]:\n return rec(i + 1, j + 1)\n return False\n return rec(0, 0)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def glob_match(pat, name):\n    def rec(i, j):\n        if i == len(pat):\n            return j == len(name)\n        if pat[i] == \"*\":\n            return rec(i + 1, j) or (j < len(name) and rec(i, j + 1))\n        if j < len(name) and pat[i] == name[j]:\n            return rec(i + 1, j + 1)\n        return False\n    return rec(0, 0)\n", "test_solution.py": "import unittest\nfrom solution import glob_match\n\nclass Test(unittest.TestCase):\n    def test_star(self):\n        self.assertTrue(glob_match(\"a*c\", \"abbbc\"))\n        self.assertFalse(glob_match(\"a*c\", \"abbbd\"))\n        self.assertTrue(glob_match(\"*\", \"\"))\n"}}, "topic": "shell"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-glob-match-star-9bbfe8b3863c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.5, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 4.925000000000001}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "glob_match_star", "topic": "shell"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `glob_match(pat, name)` supporting only `*` (any sequence) and\nliteral characters. No character classes. Match the whole name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def glob_match(pat, name):\n def rec(i, j):\n if i == len(pat):\n return j == len(name)\n if pat[i] == \"*\":\n return rec(i + 1, j) or (j < len(name) and rec(i, j + 1))\n if j < len(name) and pat[i] == name[j]:\n return rec(i + 1, j + 1)\n return False\n return rec(0, 0)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_star (test_solution.Test.test_star) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def glob_match(pat, name):\n def rec(i, j):\n if i == len(pat):\n return j == len(name)\n if pat[i] == \"*\":\n return rec(i + 1, j) or (j < len(name) and rec(i, j + 1))\n if j < len(name) and pat[i] == name[j]:\n return rec(i + 1, j + 1)\n return False\n return rec(0, 0)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_star (test_solution.Test.test_star) ... FAIL\n\n======================================================================\nFAIL: test_star (test_solution.Test.test_star)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-dogezzxx\\test_solution.py\", line 7, in test_star\n    self.assertFalse(glob_match(\"a*c\", \"abbbd\"))\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True is not false\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def glob_match(pat, name):\n    def rec(i, j):\n        if i == len(pat):\n            return j == len(name)\n        if pat[i] == \"*\":\n            return rec(i + 1, j) or (j < len(name) and rec(i, j + 1))\n        if j < len(name) and pat[i] == name[j]:\n            return rec(i + 1, j + 1)\n        return True\n    return rec(0, 0)\n", "test_solution.py": "import unittest\nfrom solution import glob_match\n\nclass Test(unittest.TestCase):\n    def test_star(self):\n        self.assertTrue(glob_match(\"a*c\", \"abbbc\"))\n        self.assertFalse(glob_match(\"a*c\", \"abbbd\"))\n        self.assertTrue(glob_match(\"*\", \"\"))\n"}}, "topic": "shell"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-glob-match-star-97f6075b33ec", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.5, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.975, "tests": 0.0, "total": 10.775}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_star (test_solution.Test.test_star) ... FAIL\n\n======================================================================\nFAIL: test_star (test_solution.Test.test_star)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-dogezzxx\\test_solution.py\", line 7, in test_star\n    self.assertFalse(glob_match(\"a*c\", \"abbbd\"))\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True is not false\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "glob_match_star", "tests_passed_after_fix": 1, "topic": "shell"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `glob_match(pat, name)` supporting only `*` (any sequence) and\nliteral characters. No character classes. Match the whole name.\n\n--- solution.py (buggy) ---\ndef glob_match(pat, name):\n def rec(i, j):\n if i == len(pat):\n return j == len(name)\n if pat[i] == \"*\":\n return rec(i + 1, j) or (j < len(name) and rec(i, j + 1))\n if j < len(name) and pat[i] == name[j]:\n return rec(i + 1, j + 1)\n return True\n return rec(0, 0)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import glob_match\n\nclass Test(unittest.TestCase):\n def test_star(self):\n self.assertTrue(glob_match(\"a*c\", \"abbbc\"))\n self.assertFalse(glob_match(\"a*c\", \"abbbd\"))\n self.assertTrue(glob_match(\"*\", \"\"))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_star (test_solution.Test.test_star) ... FAIL\n\n======================================================================\nFAIL: test_star (test_solution.Test.test_star)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-dogezzxx\\test_solution.py\", line 7, in test_star\n self.assertFalse(glob_match(\"a*c\", \"abbbd\"))\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True is not false\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def glob_match(pat, name):\n def rec(i, j):\n if i == len(pat):\n return j == len(name)\n if pat[i] == \"*\":\n return rec(i + 1, j) or (j < len(name) and rec(i, j + 1))\n if j < len(name) and pat[i] == name[j]:\n return rec(i + 1, j + 1)\n return False\n return rec(0, 0)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_star (test_solution.Test.test_star) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "import re\n\nTOKEN = re.compile(r\"\\$({)?([A-Z_][A-Z0-9_]*)(?(1)})\")\n\ndef expand_vars(text, env):\n out = []\n i = 0\n in_single = False\n while i < len(text):\n ch = text[i]\n if ch == \"'\" :\n in_single = not in_single\n out.append(ch)\n i += 1\n continue\n if not in_single and ch == \"$\":\n m = TOKEN.match(text, i)\n if m:\n out.append(env.get(m.group(2), \"\"))\n i = m.end()\n continue\n out.append(ch)\n i += 1\n return \"\".join(out)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\n\nTOKEN = re.compile(r\"\\$({)?([A-Z_][A-Z0-9_]*)(?(1)})\")\n\ndef expand_vars(text, env):\n    out = []\n    i = 0\n    in_single = False\n    while i < len(text):\n        ch = text[i]\n        if ch == \"'\" :\n            in_single = not in_single\n            out.append(ch)\n            i += 1\n            continue\n        if not in_single and ch == \"$\":\n            m = TOKEN.match(text, i)\n            if m:\n                out.append(env.get(m.group(2), \"\"))\n                i = m.end()\n                continue\n        out.append(ch)\n        i += 1\n    return \"\".join(out)\n", "test_solution.py": "import unittest\nfrom solution import expand_vars\n\nclass Test(unittest.TestCase):\n    def test_expand(self):\n        env = {\"HOME\": \"/u\", \"A\": \"x\"}\n        self.assertEqual(expand_vars(\"$HOME/${A}\", env), \"/u/x\")\n        self.assertEqual(expand_vars(\"'$HOME'\", env), \"'$HOME'\")\n"}}, "topic": "configuration"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-env-expand-56b651320e58", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.85, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 6.0249999999999995}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "env_expand", "topic": "configuration"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `expand_vars(text, env)` replacing `$NAME` and `${NAME}` where NAME\nis `[A-Z_][A-Z0-9_]*`. Unknown names become empty string. Do not expand inside\nsingle quotes `'...'`.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\n\nTOKEN = re.compile(r\"\\$({)?([A-Z_][A-Z0-9_]*)(?(1)})\")\n\ndef expand_vars(text, env):\n out = []\n i = 0\n in_single = False\n while i < len(text):\n ch = text[i]\n if ch == \"'\" :\n in_single = not in_single\n out.append(ch)\n i += 1\n continue\n if not in_single and ch == \"$\":\n m = TOKEN.match(text, i)\n if m:\n out.append(env.get(m.group(2), \"\"))\n i = m.end()\n continue\n out.append(ch)\n i += 1\n return \"\".join(out)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_expand (test_solution.Test.test_expand) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def parse_wantedby(unit_text):\n section = None\n wanted = None\n for raw in unit_text.splitlines():\n line = raw.split(\";\", 1)[0].split(\"#\", 1)[0].strip()\n if not line:\n continue\n if line.startswith(\"[\") and line.endswith(\"]\"):\n section = line[1:-1]\n continue\n if section == \"Install\" and line.startswith(\"WantedBy=\"):\n wanted = line.split(\"=\", 1)[1].strip()\n return wanted", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def parse_wantedby(unit_text):\n    section = None\n    wanted = None\n    for raw in unit_text.splitlines():\n        line = raw.split(\";\", 1)[0].split(\"#\", 1)[0].strip()\n        if not line:\n            continue\n        if line.startswith(\"[\") and line.endswith(\"]\"):\n            section = line[1:-1]\n            continue\n        if section == \"Install\" and line.startswith(\"WantedBy=\"):\n            wanted = line.split(\"=\", 1)[1].strip()\n    return wanted\n", "test_solution.py": "import unittest\nfrom solution import parse_wantedby\n\nclass Test(unittest.TestCase):\n    def test_install(self):\n        text = \"[Unit]\\n[Install]\\nWantedBy=multi-user.target\\n\"\n        self.assertEqual(parse_wantedby(text), \"multi-user.target\")\n"}}, "topic": "deployment"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-systemd-wanted-cbf71b9551eb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 3.8500000000000005}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "systemd_wanted", "topic": "deployment"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `parse_wantedby(unit_text)` returning the WantedBy= value from an\n`[Install]` section, or None. Last matching line wins. Ignore comments.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def parse_wantedby(unit_text):\n section = None\n wanted = None\n for raw in unit_text.splitlines():\n line = raw.split(\";\", 1)[0].split(\"#\", 1)[0].strip()\n if not line:\n continue\n if line.startswith(\"[\") and line.endswith(\"]\"):\n section = line[1:-1]\n continue\n if section == \"Install\" and line.startswith(\"WantedBy=\"):\n wanted = line.split(\"=\", 1)[1].strip()\n return wanted", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_install (test_solution.Test.test_install) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def parse_wantedby(unit_text):\n section = None\n wanted = None\n for raw in unit_text.splitlines():\n line = raw.split(\";\", 1)[0].split(\"#\", 1)[0].strip()\n if not line:\n continue\n if line.startswith(\"[\") and line.endswith(\"]\"):\n section = line[1:-1]\n continue\n if section == \"Install\" and line.startswith(\"WantedBy=\"):\n wanted = line.split(\"=\", 1)[1].strip()\n return wanted", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_install (test_solution.Test.test_install) ... FAIL\n\n======================================================================\nFAIL: test_install (test_solution.Test.test_install)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xlarccy8\\test_solution.py\", line 7, in test_install\n    self.assertEqual(parse_wantedby(text), \"multi-user.target\")\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: None != 'multi-user.target'\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def parse_wantedby(unit_text):\n    section = None\n    wanted = None\n    for raw in unit_text.splitlines():\n        line = raw.split(\";\", 1)[0].split(\"#\", 1)[0].strip()\n        if not line:\n            continue\n        if line.startswith(\"[\") and line.endswith(\"]\"):\n            section = line[1:-1]\n            continue\n        if section != \"Install\" and line.startswith(\"WantedBy=\"):\n            wanted = line.split(\"=\", 1)[1].strip()\n    return wanted\n", "test_solution.py": "import unittest\nfrom solution import parse_wantedby\n\nclass Test(unittest.TestCase):\n    def test_install(self):\n        text = \"[Unit]\\n[Install]\\nWantedBy=multi-user.target\\n\"\n        self.assertEqual(parse_wantedby(text), \"multi-user.target\")\n"}}, "topic": "deployment"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-systemd-wanted-fcf39d041b97", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.65, "tests": 0.0, "total": 10.5}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_install (test_solution.Test.test_install) ... FAIL\n\n======================================================================\nFAIL: test_install (test_solution.Test.test_install)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xlarccy8\\test_solution.py\", line 7, in test_install\n    self.assertEqual(parse_wantedby(text), \"multi-user.target\")\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: None != 'multi-user.target'\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "systemd_wanted", "tests_passed_after_fix": 1, "topic": "deployment"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `parse_wantedby(unit_text)` returning the WantedBy= value from an\n`[Install]` section, or None. Last matching line wins. Ignore comments.\n\n--- solution.py (buggy) ---\ndef parse_wantedby(unit_text):\n section = None\n wanted = None\n for raw in unit_text.splitlines():\n line = raw.split(\";\", 1)[0].split(\"#\", 1)[0].strip()\n if not line:\n continue\n if line.startswith(\"[\") and line.endswith(\"]\"):\n section = line[1:-1]\n continue\n if section != \"Install\" and line.startswith(\"WantedBy=\"):\n wanted = line.split(\"=\", 1)[1].strip()\n return wanted\n\n--- test_solution.py ---\nimport unittest\nfrom solution import parse_wantedby\n\nclass Test(unittest.TestCase):\n def test_install(self):\n text = \"[Unit]\\n[Install]\\nWantedBy=multi-user.target\\n\"\n self.assertEqual(parse_wantedby(text), \"multi-user.target\")\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_install (test_solution.Test.test_install) ... FAIL\n\n======================================================================\nFAIL: test_install (test_solution.Test.test_install)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xlarccy8\\test_solution.py\", line 7, in test_install\n self.assertEqual(parse_wantedby(text), \"multi-user.target\")\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: None != 'multi-user.target'\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def parse_wantedby(unit_text):\n section = None\n wanted = None\n for raw in unit_text.splitlines():\n line = raw.split(\";\", 1)[0].split(\"#\", 1)[0].strip()\n if not line:\n continue\n if line.startswith(\"[\") and line.endswith(\"]\"):\n section = line[1:-1]\n continue\n if section == \"Install\" and line.startswith(\"WantedBy=\"):\n wanted = line.split(\"=\", 1)[1].strip()\n return wanted", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_install (test_solution.Test.test_install) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def parse_cpu(value):\n if value.endswith(\"m\") and value[:-1].isdigit():\n return int(value[:-1]) / 1000.0\n if value.replace(\".\", \"\", 1).isdigit():\n return float(value)\n raise ValueError(value)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def parse_cpu(value):\n    if value.endswith(\"m\") and value[:-1].isdigit():\n        return int(value[:-1]) / 1000.0\n    if value.replace(\".\", \"\", 1).isdigit():\n        return float(value)\n    raise ValueError(value)\n", "test_solution.py": "import unittest\nfrom solution import parse_cpu\n\nclass Test(unittest.TestCase):\n    def test_cpu(self):\n        self.assertEqual(parse_cpu(\"100m\"), 0.1)\n        self.assertEqual(parse_cpu(\"2\"), 2.0)\n"}}, "topic": "deployment"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-k8s-resource-parse-75bda9ed0cce", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 4.35}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "k8s_resource_parse", "topic": "deployment"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `parse_cpu(value)` converting Kubernetes CPU strings: `100m` -> 0.1,\n`2` -> 2.0. Raise ValueError otherwise.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def parse_cpu(value):\n if value.endswith(\"m\") and value[:-1].isdigit():\n return int(value[:-1]) / 1000.0\n if value.replace(\".\", \"\", 1).isdigit():\n return float(value)\n raise ValueError(value)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_cpu (test_solution.Test.test_cpu) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "class Ring:\n def __init__(self, n):\n if n < 1:\n raise ValueError(\"n\")\n self.buf = [None] * n\n self.n = n\n self.i = 0\n self.size = 0\n\n def push(self, x):\n self.buf[self.i] = x\n self.i = (self.i + 1) % self.n\n self.size = min(self.size + 1, self.n)\n\n def snapshot(self):\n start = (self.i - self.size) % self.n\n return [self.buf[(start + k) % self.n] for k in range(self.size)]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "class Ring:\n    def __init__(self, n):\n        if n < 1:\n            raise ValueError(\"n\")\n        self.buf = [None] * n\n        self.n = n\n        self.i = 0\n        self.size = 0\n\n    def push(self, x):\n        self.buf[self.i] = x\n        self.i = (self.i + 1) % self.n\n        self.size = min(self.size + 1, self.n)\n\n    def snapshot(self):\n        start = (self.i - self.size) % self.n\n        return [self.buf[(start + k) % self.n] for k in range(self.size)]\n", "test_solution.py": "import unittest\nfrom solution import Ring\n\nclass Test(unittest.TestCase):\n    def test_wrap(self):\n        r = Ring(3)\n        for x in range(5):\n            r.push(x)\n        self.assertEqual(r.snapshot(), [2, 3, 4])\n"}}, "topic": "data_structures"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-ring-buffer-180e5d3a925c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 5.125}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "ring_buffer", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `Ring(n)` with `push(x)` (overwrite oldest when full) and\n`snapshot()` returning items oldest-to-newest.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "class Ring:\n def __init__(self, n):\n if n < 1:\n raise ValueError(\"n\")\n self.buf = [None] * n\n self.n = n\n self.i = 0\n self.size = 0\n\n def push(self, x):\n self.buf[self.i] = x\n self.i = (self.i + 1) % self.n\n self.size = min(self.size + 1, self.n)\n\n def snapshot(self):\n start = (self.i - self.size) % self.n\n return [self.buf[(start + k) % self.n] for k in range(self.size)]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_wrap (test_solution.Test.test_wrap) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "class Ring:\n def __init__(self, n):\n if n < 1:\n raise ValueError(\"n\")\n self.buf = [None] * n\n self.n = n\n self.i = 0\n self.size = 0\n\n def push(self, x):\n self.buf[self.i] = x\n self.i = (self.i + 1) % self.n\n self.size = min(self.size + 1, self.n)\n\n def snapshot(self):\n start = (self.i - self.size) % self.n\n return [self.buf[(start + k) % self.n] for k in range(self.size)]", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_wrap (test_solution.Test.test_wrap) ... FAIL\n\n======================================================================\nFAIL: test_wrap (test_solution.Test.test_wrap)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-byeo4lnf\\test_solution.py\", line 9, in test_wrap\n    self.assertEqual(r.snapshot(), [2, 3, 4])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [2, 4, 3] != [2, 3, 4]\n\nFirst differing element 1:\n4\n3\n\n- [2, 4, 3]\n+ [2, 3, 4]\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "class Ring:\n    def __init__(self, n):\n        if n < 1:\n            raise ValueError(\"n\")\n        self.buf = [None] * n\n        self.n = n\n        self.i = 0\n        self.size = 0\n\n    def push(self, x):\n        self.buf[self.i] = x\n        self.i = (self.i - 1) % self.n\n        self.size = min(self.size + 1, self.n)\n\n    def snapshot(self):\n        start = (self.i - self.size) % self.n\n        return [self.buf[(start + k) % self.n] for k in range(self.size)]\n", "test_solution.py": "import unittest\nfrom solution import Ring\n\nclass Test(unittest.TestCase):\n    def test_wrap(self):\n        r = Ring(3)\n        for x in range(5):\n            r.push(x)\n        self.assertEqual(r.snapshot(), [2, 3, 4])\n"}}, "topic": "data_structures"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-ring-buffer-649ece92c6c6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.0}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_wrap (test_solution.Test.test_wrap) ... FAIL\n\n======================================================================\nFAIL: test_wrap (test_solution.Test.test_wrap)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-byeo4lnf\\test_solution.py\", line 9, in test_wrap\n    self.assertEqual(r.snapshot(), [2, 3, 4])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [2, 4, 3] != [2, 3, 4]\n\nFirst differing element 1:\n4\n3\n\n- [2, 4, 3]\n+ [2, 3, 4]\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "ring_buffer", "tests_passed_after_fix": 1, "topic": "data_structures"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `Ring(n)` with `push(x)` (overwrite oldest when full) and\n`snapshot()` returning items oldest-to-newest.\n\n--- solution.py (buggy) ---\nclass Ring:\n def __init__(self, n):\n if n < 1:\n raise ValueError(\"n\")\n self.buf = [None] * n\n self.n = n\n self.i = 0\n self.size = 0\n\n def push(self, x):\n self.buf[self.i] = x\n self.i = (self.i - 1) % self.n\n self.size = min(self.size + 1, self.n)\n\n def snapshot(self):\n start = (self.i - self.size) % self.n\n return [self.buf[(start + k) % self.n] for k in range(self.size)]\n\n--- test_solution.py ---\nimport unittest\nfrom solution import Ring\n\nclass Test(unittest.TestCase):\n def test_wrap(self):\n r = Ring(3)\n for x in range(5):\n r.push(x)\n self.assertEqual(r.snapshot(), [2, 3, 4])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_wrap (test_solution.Test.test_wrap) ... FAIL\n\n======================================================================\nFAIL: test_wrap (test_solution.Test.test_wrap)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-byeo4lnf\\test_solution.py\", line 9, in test_wrap\n self.assertEqual(r.snapshot(), [2, 3, 4])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [2, 4, 3] != [2, 3, 4]\n\nFirst differing element 1:\n4\n3\n\n- [2, 4, 3]\n+ [2, 3, 4]\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "class Ring:\n def __init__(self, n):\n if n < 1:\n raise ValueError(\"n\")\n self.buf = [None] * n\n self.n = n\n self.i = 0\n self.size = 0\n\n def push(self, x):\n self.buf[self.i] = x\n self.i = (self.i + 1) % self.n\n self.size = min(self.size + 1, self.n)\n\n def snapshot(self):\n start = (self.i - self.size) % self.n\n return [self.buf[(start + k) % self.n] for k in range(self.size)]", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_wrap (test_solution.Test.test_wrap) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "class UnionFind:\n def __init__(self, n):\n self.p = list(range(n))\n self.r = [0] * n\n\n def find(self, i):\n while self.p[i] != i:\n self.p[i] = self.p[self.p[i]]\n i = self.p[i]\n return i\n\n def union(self, i, j):\n a, b = self.find(i), self.find(j)\n if a == b:\n return False\n if self.r[a] < self.r[b]:\n a, b = b, a\n self.p[b] = a\n if self.r[a] == self.r[b]:\n self.r[a] += 1\n return True", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "class UnionFind:\n    def __init__(self, n):\n        self.p = list(range(n))\n        self.r = [0] * n\n\n    def find(self, i):\n        while self.p[i] != i:\n            self.p[i] = self.p[self.p[i]]\n            i = self.p[i]\n        return i\n\n    def union(self, i, j):\n        a, b = self.find(i), self.find(j)\n        if a == b:\n            return False\n        if self.r[a] < self.r[b]:\n            a, b = b, a\n        self.p[b] = a\n        if self.r[a] == self.r[b]:\n            self.r[a] += 1\n        return True\n", "test_solution.py": "import unittest\nfrom solution import UnionFind\n\nclass Test(unittest.TestCase):\n    def test_uf(self):\n        u = UnionFind(4)\n        self.assertTrue(u.union(0, 1))\n        self.assertTrue(u.union(2, 3))\n        self.assertFalse(u.union(0, 1))\n        self.assertEqual(u.find(0), u.find(1))\n        self.assertNotEqual(u.find(0), u.find(2))\n"}}, "topic": "data_structures"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-union-find-39864eb16b6c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.85, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 4.625}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "union_find", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `UnionFind(n)` with 0..n-1 elements, `find(i)`, `union(i,j)`\nreturning True if they were in different sets. Use path compression and union by rank.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "class UnionFind:\n def __init__(self, n):\n self.p = list(range(n))\n self.r = [0] * n\n\n def find(self, i):\n while self.p[i] != i:\n self.p[i] = self.p[self.p[i]]\n i = self.p[i]\n return i\n\n def union(self, i, j):\n a, b = self.find(i), self.find(j)\n if a == b:\n return False\n if self.r[a] < self.r[b]:\n a, b = b, a\n self.p[b] = a\n if self.r[a] == self.r[b]:\n self.r[a] += 1\n return True", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_uf (test_solution.Test.test_uf) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "class UnionFind:\n def __init__(self, n):\n self.p = list(range(n))\n self.r = [0] * n\n\n def find(self, i):\n while self.p[i] != i:\n self.p[i] = self.p[self.p[i]]\n i = self.p[i]\n return i\n\n def union(self, i, j):\n a, b = self.find(i), self.find(j)\n if a == b:\n return False\n if self.r[a] < self.r[b]:\n a, b = b, a\n self.p[b] = a\n if self.r[a] == self.r[b]:\n self.r[a] += 1\n return True", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_uf (test_solution.Test.test_uf) ... FAIL\n\n======================================================================\nFAIL: test_uf (test_solution.Test.test_uf)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-06_ablgo\\test_solution.py\", line 7, in test_uf\n    self.assertTrue(u.union(0, 1))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "class UnionFind:\n    def __init__(self, n):\n        self.p = list(range(n))\n        self.r = [0] * n\n\n    def find(self, i):\n        while self.p[i] != i:\n            self.p[i] = self.p[self.p[i]]\n            i = self.p[i]\n        return i\n\n    def union(self, i, j):\n        a, b = self.find(i), self.find(j)\n        if a == b:\n            return False\n        if self.r[a] < self.r[b]:\n            a, b = b, a\n        self.p[b] = a\n        if self.r[a] == self.r[b]:\n            self.r[a] += 1\n        return False\n", "test_solution.py": "import unittest\nfrom solution import UnionFind\n\nclass Test(unittest.TestCase):\n    def test_uf(self):\n        u = UnionFind(4)\n        self.assertTrue(u.union(0, 1))\n        self.assertTrue(u.union(2, 3))\n        self.assertFalse(u.union(0, 1))\n        self.assertEqual(u.find(0), u.find(1))\n        self.assertNotEqual(u.find(0), u.find(2))\n"}}, "topic": "data_structures"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-union-find-a0fd676c4519", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.85, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.15}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_uf (test_solution.Test.test_uf) ... FAIL\n\n======================================================================\nFAIL: test_uf (test_solution.Test.test_uf)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-06_ablgo\\test_solution.py\", line 7, in test_uf\n    self.assertTrue(u.union(0, 1))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "union_find", "tests_passed_after_fix": 1, "topic": "data_structures"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `UnionFind(n)` with 0..n-1 elements, `find(i)`, `union(i,j)`\nreturning True if they were in different sets. Use path compression and union by rank.\n\n--- solution.py (buggy) ---\nclass UnionFind:\n def __init__(self, n):\n self.p = list(range(n))\n self.r = [0] * n\n\n def find(self, i):\n while self.p[i] != i:\n self.p[i] = self.p[self.p[i]]\n i = self.p[i]\n return i\n\n def union(self, i, j):\n a, b = self.find(i), self.find(j)\n if a == b:\n return False\n if self.r[a] < self.r[b]:\n a, b = b, a\n self.p[b] = a\n if self.r[a] == self.r[b]:\n self.r[a] += 1\n return False\n\n--- test_solution.py ---\nimport unittest\nfrom solution import UnionFind\n\nclass Test(unittest.TestCase):\n def test_uf(self):\n u = UnionFind(4)\n self.assertTrue(u.union(0, 1))\n self.assertTrue(u.union(2, 3))\n self.assertFalse(u.union(0, 1))\n self.assertEqual(u.find(0), u.find(1))\n self.assertNotEqual(u.find(0), u.find(2))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_uf (test_solution.Test.test_uf) ... FAIL\n\n======================================================================\nFAIL: test_uf (test_solution.Test.test_uf)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-06_ablgo\\test_solution.py\", line 7, in test_uf\n self.assertTrue(u.union(0, 1))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:43Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "class UnionFind:\n def __init__(self, n):\n self.p = list(range(n))\n self.r = [0] * n\n\n def find(self, i):\n while self.p[i] != i:\n self.p[i] = self.p[self.p[i]]\n i = self.p[i]\n return i\n\n def union(self, i, j):\n a, b = self.find(i), self.find(j)\n if a == b:\n return False\n if self.r[a] < self.r[b]:\n a, b = b, a\n self.p[b] = a\n if self.r[a] == self.r[b]:\n self.r[a] += 1\n return True", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_uf (test_solution.Test.test_uf) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def knapsack(weights, values, cap):\n dp = [0] * (cap + 1)\n for w, v in zip(weights, values):\n for c in range(cap, w - 1, -1):\n dp[c] = max(dp[c], dp[c - w] + v)\n return dp[cap]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def knapsack(weights, values, cap):\n    dp = [0] * (cap + 1)\n    for w, v in zip(weights, values):\n        for c in range(cap, w - 1, -1):\n            dp[c] = max(dp[c], dp[c - w] + v)\n    return dp[cap]\n", "test_solution.py": "import unittest\nfrom solution import knapsack\n\nclass Test(unittest.TestCase):\n    def test_ks(self):\n        self.assertEqual(knapsack([2, 3, 4], [3, 4, 5], 5), 7)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-knapsack-01-5de1ee8eaac8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 4.775}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "knapsack_01", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `knapsack(weights, values, cap)` 0/1 knapsack maximum value.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def knapsack(weights, values, cap):\n dp = [0] * (cap + 1)\n for w, v in zip(weights, values):\n for c in range(cap, w - 1, -1):\n dp[c] = max(dp[c], dp[c - w] + v)\n return dp[cap]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ks (test_solution.Test.test_ks) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def knapsack(weights, values, cap):\n dp = [0] * (cap + 1)\n for w, v in zip(weights, values):\n for c in range(cap, w - 1, -1):\n dp[c] = max(dp[c], dp[c - w] + v)\n return dp[cap]", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_ks (test_solution.Test.test_ks) ... ERROR\n\n======================================================================\nERROR: test_ks (test_solution.Test.test_ks)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ho4m81vl\\test_solution.py\", line 6, in test_ks\n    self.assertEqual(knapsack([2, 3, 4], [3, 4, 5], 5), 7)\n                     ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ho4m81vl\\solution.py\", line 5, in knapsack\n    dp[c] = max(dp[c], dp[c - w] + v)\n                ~~^^^\nIndexError: list index out of range\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def knapsack(weights, values, cap):\n    dp = [0] * (cap - 1)\n    for w, v in zip(weights, values):\n        for c in range(cap, w - 1, -1):\n            dp[c] = max(dp[c], dp[c - w] + v)\n    return dp[cap]\n", "test_solution.py": "import unittest\nfrom solution import knapsack\n\nclass Test(unittest.TestCase):\n    def test_ks(self):\n        self.assertEqual(knapsack([2, 3, 4], [3, 4, 5], 5), 7)\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-knapsack-01-52b68fcd2408", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.9, "tests": 0.0, "total": 10.549999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 0, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_ks (test_solution.Test.test_ks) ... ERROR\n\n======================================================================\nERROR: test_ks (test_solution.Test.test_ks)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ho4m81vl\\test_solution.py\", line 6, in test_ks\n    self.assertEqual(knapsack([2, 3, 4], [3, 4, 5], 5), 7)\n                     ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ho4m81vl\\solution.py\", line 5, in knapsack\n    dp[c] = max(dp[c], dp[c - w] + v)\n                ~~^^^\nIndexError: list index out of range\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "knapsack_01", "tests_passed_after_fix": 1, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `knapsack(weights, values, cap)` 0/1 knapsack maximum value.\n\n--- solution.py (buggy) ---\ndef knapsack(weights, values, cap):\n dp = [0] * (cap - 1)\n for w, v in zip(weights, values):\n for c in range(cap, w - 1, -1):\n dp[c] = max(dp[c], dp[c - w] + v)\n return dp[cap]\n\n--- test_solution.py ---\nimport unittest\nfrom solution import knapsack\n\nclass Test(unittest.TestCase):\n def test_ks(self):\n self.assertEqual(knapsack([2, 3, 4], [3, 4, 5], 5), 7)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_ks (test_solution.Test.test_ks) ... ERROR\n\n======================================================================\nERROR: test_ks (test_solution.Test.test_ks)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ho4m81vl\\test_solution.py\", line 6, in test_ks\n self.assertEqual(knapsack([2, 3, 4], [3, 4, 5], 5), 7)\n ~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ho4m81vl\\solution.py\", line 5, in knapsack\n dp[c] = max(dp[c], dp[c - w] + v)\n ~~^^^\nIndexError: list index out of range\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def knapsack(weights, values, cap):\n dp = [0] * (cap + 1)\n for w, v in zip(weights, values):\n for c in range(cap, w - 1, -1):\n dp[c] = max(dp[c], dp[c - w] + v)\n return dp[cap]", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ks (test_solution.Test.test_ks) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import deque\n\ndef bfs_order(graph, start):\n seen = {start}\n q = deque([start])\n order = []\n while q:\n node = q.popleft()\n order.append(node)\n for nxt in graph.get(node, []):\n if nxt not in seen:\n seen.add(nxt)\n q.append(nxt)\n return order", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import deque\n\ndef bfs_order(graph, start):\n    seen = {start}\n    q = deque([start])\n    order = []\n    while q:\n        node = q.popleft()\n        order.append(node)\n        for nxt in graph.get(node, []):\n            if nxt not in seen:\n                seen.add(nxt)\n                q.append(nxt)\n    return order\n", "test_solution.py": "import unittest\nfrom solution import bfs_order\n\nclass Test(unittest.TestCase):\n    def test_bfs(self):\n        g = {1: [2, 3], 2: [4], 3: [], 4: []}\n        self.assertEqual(bfs_order(g, 1), [1, 2, 3, 4])\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-bfs-levels-5c27c81b563d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.575, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 3.7750000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "bfs_levels", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `bfs_order(graph, start)` returning nodes in BFS order. graph maps\nnode -> iterable of neighbors. Skip missing neighbor keys.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import deque\n\ndef bfs_order(graph, start):\n seen = {start}\n q = deque([start])\n order = []\n while q:\n node = q.popleft()\n order.append(node)\n for nxt in graph.get(node, []):\n if nxt not in seen:\n seen.add(nxt)\n q.append(nxt)\n return order", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bfs (test_solution.Test.test_bfs) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def covered_length(ranges):\n if not ranges:\n return 0\n ordered = sorted(ranges)\n total = 0\n cs, ce = ordered[0]\n for s, e in ordered[1:]:\n if s > ce:\n total += ce - cs\n cs, ce = s, e\n else:\n ce = max(ce, e)\n total += ce - cs\n return total", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def covered_length(ranges):\n    if not ranges:\n        return 0\n    ordered = sorted(ranges)\n    total = 0\n    cs, ce = ordered[0]\n    for s, e in ordered[1:]:\n        if s > ce:\n            total += ce - cs\n            cs, ce = s, e\n        else:\n            ce = max(ce, e)\n    total += ce - cs\n    return total\n", "test_solution.py": "import unittest\nfrom solution import covered_length\n\nclass Test(unittest.TestCase):\n    def test_cover(self):\n        self.assertEqual(covered_length([(0, 3), (2, 5), (10, 12)]), 7)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-interval-coverage-973204b58c0f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 4.575}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "interval_coverage", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `covered_length(ranges)` total length covered by [start,end]\nhalf-open intervals. Overlaps count once.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def covered_length(ranges):\n if not ranges:\n return 0\n ordered = sorted(ranges)\n total = 0\n cs, ce = ordered[0]\n for s, e in ordered[1:]:\n if s > ce:\n total += ce - cs\n cs, ce = s, e\n else:\n ce = max(ce, e)\n total += ce - cs\n return total", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_cover (test_solution.Test.test_cover) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import deque\n\nclass SlidingWindow:\n def __init__(self, limit, window):\n self.limit = limit\n self.window = window\n self.q = deque()\n\n def allow(self, t):\n while self.q and self.q[0] <= t - self.window:\n self.q.popleft()\n if len(self.q) >= self.limit:\n return False\n self.q.append(t)\n return True", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import deque\n\nclass SlidingWindow:\n    def __init__(self, limit, window):\n        self.limit = limit\n        self.window = window\n        self.q = deque()\n\n    def allow(self, t):\n        while self.q and self.q[0] <= t - self.window:\n            self.q.popleft()\n        if len(self.q) >= self.limit:\n            return False\n        self.q.append(t)\n        return True\n", "test_solution.py": "import unittest\nfrom solution import SlidingWindow\n\nclass Test(unittest.TestCase):\n    def test_sw(self):\n        s = SlidingWindow(2, 10)\n        self.assertTrue(s.allow(0))\n        self.assertTrue(s.allow(1))\n        self.assertFalse(s.allow(2))\n        self.assertTrue(s.allow(11))\n"}}, "topic": "networking"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-rate-limit-sliding-dfd9e3aba9b3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 4.2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "rate_limit_sliding", "topic": "networking"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `SlidingWindow(limit, window)` with `allow(t)` where t is\nnon-decreasing time. At most `limit` events in (t-window, t].", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import deque\n\nclass SlidingWindow:\n def __init__(self, limit, window):\n self.limit = limit\n self.window = window\n self.q = deque()\n\n def allow(self, t):\n while self.q and self.q[0] <= t - self.window:\n self.q.popleft()\n if len(self.q) >= self.limit:\n return False\n self.q.append(t)\n return True", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_sw (test_solution.Test.test_sw) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import deque\n\nclass SlidingWindow:\n def __init__(self, limit, window):\n self.limit = limit\n self.window = window\n self.q = deque()\n\n def allow(self, t):\n while self.q and self.q[0] <= t - self.window:\n self.q.popleft()\n if len(self.q) >= self.limit:\n return False\n self.q.append(t)\n return True", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_sw (test_solution.Test.test_sw) ... FAIL\n\n======================================================================\nFAIL: test_sw (test_solution.Test.test_sw)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-i_lvhlh9\\test_solution.py\", line 7, in test_sw\n    self.assertTrue(s.allow(0))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "from collections import deque\n\nclass SlidingWindow:\n    def __init__(self, limit, window):\n        self.limit = limit\n        self.window = window\n        self.q = deque()\n\n    def allow(self, t):\n        while self.q and self.q[0] <= t - self.window:\n            self.q.popleft()\n        if len(self.q) >= self.limit:\n            return False\n        self.q.append(t)\n        return False\n", "test_solution.py": "import unittest\nfrom solution import SlidingWindow\n\nclass Test(unittest.TestCase):\n    def test_sw(self):\n        s = SlidingWindow(2, 10)\n        self.assertTrue(s.allow(0))\n        self.assertTrue(s.allow(1))\n        self.assertFalse(s.allow(2))\n        self.assertTrue(s.allow(11))\n"}}, "topic": "networking"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-rate-limit-sliding-d86579ad1ffd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.675, "tests": 0.0, "total": 10.649999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_sw (test_solution.Test.test_sw) ... FAIL\n\n======================================================================\nFAIL: test_sw (test_solution.Test.test_sw)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-i_lvhlh9\\test_solution.py\", line 7, in test_sw\n    self.assertTrue(s.allow(0))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "rate_limit_sliding", "tests_passed_after_fix": 1, "topic": "networking"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `SlidingWindow(limit, window)` with `allow(t)` where t is\nnon-decreasing time. At most `limit` events in (t-window, t].\n\n--- solution.py (buggy) ---\nfrom collections import deque\n\nclass SlidingWindow:\n def __init__(self, limit, window):\n self.limit = limit\n self.window = window\n self.q = deque()\n\n def allow(self, t):\n while self.q and self.q[0] <= t - self.window:\n self.q.popleft()\n if len(self.q) >= self.limit:\n return False\n self.q.append(t)\n return False\n\n--- test_solution.py ---\nimport unittest\nfrom solution import SlidingWindow\n\nclass Test(unittest.TestCase):\n def test_sw(self):\n s = SlidingWindow(2, 10)\n self.assertTrue(s.allow(0))\n self.assertTrue(s.allow(1))\n self.assertFalse(s.allow(2))\n self.assertTrue(s.allow(11))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_sw (test_solution.Test.test_sw) ... FAIL\n\n======================================================================\nFAIL: test_sw (test_solution.Test.test_sw)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-i_lvhlh9\\test_solution.py\", line 7, in test_sw\n self.assertTrue(s.allow(0))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import deque\n\nclass SlidingWindow:\n def __init__(self, limit, window):\n self.limit = limit\n self.window = window\n self.q = deque()\n\n def allow(self, t):\n while self.q and self.q[0] <= t - self.window:\n self.q.popleft()\n if len(self.q) >= self.limit:\n return False\n self.q.append(t)\n return True", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_sw (test_solution.Test.test_sw) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def b64_pad(s):\n m = len(s) % 4\n if m == 1:\n raise ValueError(\"invalid\")\n if m:\n s += \"=\" * (4 - m)\n return s", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def b64_pad(s):\n    m = len(s) % 4\n    if m == 1:\n        raise ValueError(\"invalid\")\n    if m:\n        s += \"=\" * (4 - m)\n    return s\n", "test_solution.py": "import unittest\nfrom solution import b64_pad\n\nclass Test(unittest.TestCase):\n    def test_pad(self):\n        self.assertEqual(b64_pad(\"TQ\"), \"TQ==\")\n        self.assertEqual(b64_pad(\"TWE\"), \"TWE=\")\n"}}, "topic": "api_usage"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-base64-pad-5ba7bc4c7cea", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.15}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "base64_pad", "topic": "api_usage"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `b64_pad(s)` adding the correct `=` padding to a base64 string\nwithout padding. Do not decode.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def b64_pad(s):\n m = len(s) % 4\n if m == 1:\n raise ValueError(\"invalid\")\n if m:\n s += \"=\" * (4 - m)\n return s", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_pad (test_solution.Test.test_pad) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def b64_pad(s):\n m = len(s) % 4\n if m == 1:\n raise ValueError(\"invalid\")\n if m:\n s += \"=\" * (4 - m)\n return s", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_pad (test_solution.Test.test_pad) ... ERROR\n\n======================================================================\nERROR: test_pad (test_solution.Test.test_pad)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4jfmh1lq\\test_solution.py\", line 6, in test_pad\n    self.assertEqual(b64_pad(\"TQ\"), \"TQ==\")\n                     ~~~~~~~^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4jfmh1lq\\solution.py\", line 4, in b64_pad\n    raise ValueError(\"invalid\")\nValueError: invalid\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def b64_pad(s):\n    m = len(s) % 4\n    if m != 1:\n        raise ValueError(\"invalid\")\n    if m:\n        s += \"=\" * (4 - m)\n    return s\n", "test_solution.py": "import unittest\nfrom solution import b64_pad\n\nclass Test(unittest.TestCase):\n    def test_pad(self):\n        self.assertEqual(b64_pad(\"TQ\"), \"TQ==\")\n        self.assertEqual(b64_pad(\"TWE\"), \"TWE=\")\n"}}, "topic": "api_usage"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-base64-pad-057c27806a8e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.3, "tests": 0.0, "total": 10.0}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 0, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_pad (test_solution.Test.test_pad) ... ERROR\n\n======================================================================\nERROR: test_pad (test_solution.Test.test_pad)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4jfmh1lq\\test_solution.py\", line 6, in test_pad\n    self.assertEqual(b64_pad(\"TQ\"), \"TQ==\")\n                     ~~~~~~~^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4jfmh1lq\\solution.py\", line 4, in b64_pad\n    raise ValueError(\"invalid\")\nValueError: invalid\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "base64_pad", "tests_passed_after_fix": 1, "topic": "api_usage"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `b64_pad(s)` adding the correct `=` padding to a base64 string\nwithout padding. Do not decode.\n\n--- solution.py (buggy) ---\ndef b64_pad(s):\n m = len(s) % 4\n if m != 1:\n raise ValueError(\"invalid\")\n if m:\n s += \"=\" * (4 - m)\n return s\n\n--- test_solution.py ---\nimport unittest\nfrom solution import b64_pad\n\nclass Test(unittest.TestCase):\n def test_pad(self):\n self.assertEqual(b64_pad(\"TQ\"), \"TQ==\")\n self.assertEqual(b64_pad(\"TWE\"), \"TWE=\")\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_pad (test_solution.Test.test_pad) ... ERROR\n\n======================================================================\nERROR: test_pad (test_solution.Test.test_pad)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4jfmh1lq\\test_solution.py\", line 6, in test_pad\n self.assertEqual(b64_pad(\"TQ\"), \"TQ==\")\n ~~~~~~~^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4jfmh1lq\\solution.py\", line 4, in b64_pad\n raise ValueError(\"invalid\")\nValueError: invalid\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def b64_pad(s):\n m = len(s) % 4\n if m == 1:\n raise ValueError(\"invalid\")\n if m:\n s += \"=\" * (4 - m)\n return s", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_pad (test_solution.Test.test_pad) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def retry(fn, retries, retry_on):\n last = None\n for _ in range(retries + 1):\n try:\n return fn()\n except retry_on as exc:\n last = exc\n raise last", "assumptions": [], "concept_id": "python.exceptions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def retry(fn, retries, retry_on):\n    last = None\n    for _ in range(retries + 1):\n        try:\n            return fn()\n        except retry_on as exc:\n            last = exc\n    raise last\n", "test_solution.py": "import unittest\nfrom solution import retry\n\nclass Test(unittest.TestCase):\n    def test_retry(self):\n        n = {\"c\": 0}\n        def f():\n            n[\"c\"] += 1\n            if n[\"c\"] < 3:\n                raise ValueError(\"x\")\n            return 7\n        self.assertEqual(retry(f, 5, ValueError), 7)\n        self.assertEqual(n[\"c\"], 3)\n"}}, "topic": "devops"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-retry-predicate-827fb6f0d571", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.575, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 4.2250000000000005}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "retry_predicate", "topic": "devops"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `retry(fn, retries, retry_on)` calling fn until it returns without\nraising an exception in retry_on, up to retries+1 attempts. Re-raise the last.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def retry(fn, retries, retry_on):\n last = None\n for _ in range(retries + 1):\n try:\n return fn()\n except retry_on as exc:\n last = exc\n raise last", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_retry (test_solution.Test.test_retry) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def parse_ini(text):\n data = {}\n section = None\n for raw in text.splitlines():\n line = raw.split(\";\", 1)[0].strip()\n if not line:\n continue\n if line.startswith(\"[\") and line.endswith(\"]\"):\n section = line[1:-1]\n data.setdefault(section, {})\n continue\n if section is None or \"=\" not in line:\n raise ValueError(line)\n k, v = line.split(\"=\", 1)\n data[section][k.strip()] = v.strip()\n return data", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def parse_ini(text):\n    data = {}\n    section = None\n    for raw in text.splitlines():\n        line = raw.split(\";\", 1)[0].strip()\n        if not line:\n            continue\n        if line.startswith(\"[\") and line.endswith(\"]\"):\n            section = line[1:-1]\n            data.setdefault(section, {})\n            continue\n        if section is None or \"=\" not in line:\n            raise ValueError(line)\n        k, v = line.split(\"=\", 1)\n        data[section][k.strip()] = v.strip()\n    return data\n", "test_solution.py": "import unittest\nfrom solution import parse_ini\n\nclass Test(unittest.TestCase):\n    def test_ini(self):\n        text = \"[db]\\nhost=localhost\\n; c\\nport=1\\n\"\n        self.assertEqual(parse_ini(text), {\"db\": {\"host\": \"localhost\", \"port\": \"1\"}})\n"}}, "topic": "configuration"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-ini-sections-c58ba9a266c7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 3.875}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "ini_sections", "topic": "configuration"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `parse_ini(text)` returning dict[str, dict[str, str]] for\n`[section]` and `key=value` lines. Ignore blanks and `;` comments.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def parse_ini(text):\n data = {}\n section = None\n for raw in text.splitlines():\n line = raw.split(\";\", 1)[0].strip()\n if not line:\n continue\n if line.startswith(\"[\") and line.endswith(\"]\"):\n section = line[1:-1]\n data.setdefault(section, {})\n continue\n if section is None or \"=\" not in line:\n raise ValueError(line)\n k, v = line.split(\"=\", 1)\n data[section][k.strip()] = v.strip()\n return data", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ini (test_solution.Test.test_ini) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import defaultdict, deque\n\ndef longest_path_dag(nodes, edges, weight):\n graph = defaultdict(list)\n indeg = {n: 0 for n in nodes}\n for u, v in edges:\n graph[u].append(v)\n indeg[v] += 1\n dist = {n: 0 for n in nodes}\n q = deque([n for n in nodes if indeg[n] == 0])\n seen = 0\n while q:\n u = q.popleft()\n seen += 1\n for v in graph[u]:\n dist[v] = max(dist[v], dist[u] + weight[(u, v)])\n indeg[v] -= 1\n if indeg[v] == 0:\n q.append(v)\n if seen != len(nodes):\n raise ValueError(\"not a dag\")\n return max(dist.values())", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import defaultdict, deque\n\ndef longest_path_dag(nodes, edges, weight):\n    graph = defaultdict(list)\n    indeg = {n: 0 for n in nodes}\n    for u, v in edges:\n        graph[u].append(v)\n        indeg[v] += 1\n    dist = {n: 0 for n in nodes}\n    q = deque([n for n in nodes if indeg[n] == 0])\n    seen = 0\n    while q:\n        u = q.popleft()\n        seen += 1\n        for v in graph[u]:\n            dist[v] = max(dist[v], dist[u] + weight[(u, v)])\n            indeg[v] -= 1\n            if indeg[v] == 0:\n                q.append(v)\n    if seen != len(nodes):\n        raise ValueError(\"not a dag\")\n    return max(dist.values())\n", "test_solution.py": "import unittest\nfrom solution import longest_path_dag\n\nclass Test(unittest.TestCase):\n    def test_lp(self):\n        w = {(\"a\", \"b\"): 2, (\"b\", \"c\"): 3, (\"a\", \"c\"): 4}\n        self.assertEqual(longest_path_dag([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\"), (\"a\", \"c\")], w), 5)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-dag-longest-b3d7369135cf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.775, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 5.1000000000000005}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "dag_longest", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `longest_path_dag(nodes, edges, weight)` where edges are (u,v)\nand weight[(u,v)] is a number. Graph is DAG. Return the maximum path weight\n(possibly a single node path of weight 0).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import defaultdict, deque\n\ndef longest_path_dag(nodes, edges, weight):\n graph = defaultdict(list)\n indeg = {n: 0 for n in nodes}\n for u, v in edges:\n graph[u].append(v)\n indeg[v] += 1\n dist = {n: 0 for n in nodes}\n q = deque([n for n in nodes if indeg[n] == 0])\n seen = 0\n while q:\n u = q.popleft()\n seen += 1\n for v in graph[u]:\n dist[v] = max(dist[v], dist[u] + weight[(u, v)])\n indeg[v] -= 1\n if indeg[v] == 0:\n q.append(v)\n if seen != len(nodes):\n raise ValueError(\"not a dag\")\n return max(dist.values())", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_lp (test_solution.Test.test_lp) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import defaultdict, deque\n\ndef longest_path_dag(nodes, edges, weight):\n graph = defaultdict(list)\n indeg = {n: 0 for n in nodes}\n for u, v in edges:\n graph[u].append(v)\n indeg[v] += 1\n dist = {n: 0 for n in nodes}\n q = deque([n for n in nodes if indeg[n] == 0])\n seen = 0\n while q:\n u = q.popleft()\n seen += 1\n for v in graph[u]:\n dist[v] = max(dist[v], dist[u] + weight[(u, v)])\n indeg[v] -= 1\n if indeg[v] == 0:\n q.append(v)\n if seen != len(nodes):\n raise ValueError(\"not a dag\")\n return max(dist.values())", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_lp (test_solution.Test.test_lp) ... ERROR\n\n======================================================================\nERROR: test_lp (test_solution.Test.test_lp)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-c11ranue\\test_solution.py\", line 7, in test_lp\n    self.assertEqual(longest_path_dag([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\"), (\"a\", \"c\")], w), 5)\n                     ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-c11ranue\\solution.py\", line 21, in longest_path_dag\n    raise ValueError(\"not a dag\")\nValueError: not a dag\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "from collections import defaultdict, deque\n\ndef longest_path_dag(nodes, edges, weight):\n    graph = defaultdict(list)\n    indeg = {n: 0 for n in nodes}\n    for u, v in edges:\n        graph[u].append(v)\n        indeg[v] += 1\n    dist = {n: 0 for n in nodes}\n    q = deque([n for n in nodes if indeg[n] != 0])\n    seen = 0\n    while q:\n        u = q.popleft()\n        seen += 1\n        for v in graph[u]:\n            dist[v] = max(dist[v], dist[u] + weight[(u, v)])\n            indeg[v] -= 1\n            if indeg[v] == 0:\n                q.append(v)\n    if seen != len(nodes):\n        raise ValueError(\"not a dag\")\n    return max(dist.values())\n", "test_solution.py": "import unittest\nfrom solution import longest_path_dag\n\nclass Test(unittest.TestCase):\n    def test_lp(self):\n        w = {(\"a\", \"b\"): 2, (\"b\", \"c\"): 3, (\"a\", \"c\"): 4}\n        self.assertEqual(longest_path_dag([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\"), (\"a\", \"c\")], w), 5)\n"}}, "topic": "algorithms"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-dag-longest-6cdf248a6ba8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.775, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.075}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 0, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_lp (test_solution.Test.test_lp) ... ERROR\n\n======================================================================\nERROR: test_lp (test_solution.Test.test_lp)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-c11ranue\\test_solution.py\", line 7, in test_lp\n    self.assertEqual(longest_path_dag([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\"), (\"a\", \"c\")], w), 5)\n                     ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-c11ranue\\solution.py\", line 21, in longest_path_dag\n    raise ValueError(\"not a dag\")\nValueError: not a dag\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "dag_longest", "tests_passed_after_fix": 1, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `longest_path_dag(nodes, edges, weight)` where edges are (u,v)\nand weight[(u,v)] is a number. Graph is DAG. Return the maximum path weight\n(possibly a single node path of weight 0).\n\n--- solution.py (buggy) ---\nfrom collections import defaultdict, deque\n\ndef longest_path_dag(nodes, edges, weight):\n graph = defaultdict(list)\n indeg = {n: 0 for n in nodes}\n for u, v in edges:\n graph[u].append(v)\n indeg[v] += 1\n dist = {n: 0 for n in nodes}\n q = deque([n for n in nodes if indeg[n] != 0])\n seen = 0\n while q:\n u = q.popleft()\n seen += 1\n for v in graph[u]:\n dist[v] = max(dist[v], dist[u] + weight[(u, v)])\n indeg[v] -= 1\n if indeg[v] == 0:\n q.append(v)\n if seen != len(nodes):\n raise ValueError(\"not a dag\")\n return max(dist.values())\n\n--- test_solution.py ---\nimport unittest\nfrom solution import longest_path_dag\n\nclass Test(unittest.TestCase):\n def test_lp(self):\n w = {(\"a\", \"b\"): 2, (\"b\", \"c\"): 3, (\"a\", \"c\"): 4}\n self.assertEqual(longest_path_dag([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\"), (\"a\", \"c\")], w), 5)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_lp (test_solution.Test.test_lp) ... ERROR\n\n======================================================================\nERROR: test_lp (test_solution.Test.test_lp)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-c11ranue\\test_solution.py\", line 7, in test_lp\n self.assertEqual(longest_path_dag([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\"), (\"a\", \"c\")], w), 5)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-c11ranue\\solution.py\", line 21, in longest_path_dag\n raise ValueError(\"not a dag\")\nValueError: not a dag\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import defaultdict, deque\n\ndef longest_path_dag(nodes, edges, weight):\n graph = defaultdict(list)\n indeg = {n: 0 for n in nodes}\n for u, v in edges:\n graph[u].append(v)\n indeg[v] += 1\n dist = {n: 0 for n in nodes}\n q = deque([n for n in nodes if indeg[n] == 0])\n seen = 0\n while q:\n u = q.popleft()\n seen += 1\n for v in graph[u]:\n dist[v] = max(dist[v], dist[u] + weight[(u, v)])\n indeg[v] -= 1\n if indeg[v] == 0:\n q.append(v)\n if seen != len(nodes):\n raise ValueError(\"not a dag\")\n return max(dist.values())", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_lp (test_solution.Test.test_lp) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "import heapq\n\ndef k_smallest(nums, k):\n if k <= 0:\n return []\n return sorted(heapq.nsmallest(min(k, len(nums)), nums))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import heapq\n\ndef k_smallest(nums, k):\n    if k <= 0:\n        return []\n    return sorted(heapq.nsmallest(min(k, len(nums)), nums))\n", "test_solution.py": "import unittest\nfrom solution import k_smallest\n\nclass Test(unittest.TestCase):\n    def test_k(self):\n        self.assertEqual(k_smallest([5, 1, 4, 2], 2), [1, 2])\n        self.assertEqual(k_smallest([3], 5), [3])\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-min-heap-k-1732990ad1d2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 3.5}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "min_heap_k", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `k_smallest(nums, k)` returning the k smallest values sorted\nascending. k may be 0. If k > n, return all sorted.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:44Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import heapq\n\ndef k_smallest(nums, k):\n if k <= 0:\n return []\n return sorted(heapq.nsmallest(min(k, len(nums)), nums))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_k (test_solution.Test.test_k) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from itertools import zip_longest\n\ndef constant_eq(a, b):\n diff = 0\n for x, y in zip_longest(a, b, fillvalue=None):\n diff |= (x != y)\n return not diff", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from itertools import zip_longest\n\ndef constant_eq(a, b):\n    diff = 0\n    for x, y in zip_longest(a, b, fillvalue=None):\n        diff |= (x != y)\n    return not diff\n", "test_solution.py": "import unittest\nfrom solution import constant_eq\n\nclass Test(unittest.TestCase):\n    def test_eq(self):\n        self.assertTrue(constant_eq(\"abc\", \"abc\"))\n        self.assertFalse(constant_eq(\"abc\", \"ab\"))\n        self.assertFalse(constant_eq(\"abc\", \"abd\"))\n"}}, "topic": "defensive_security"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-sha256-prefix-ac24cc8583f0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 3.625}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "sha256_prefix", "topic": "defensive_security"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `constant_eq(a, b)` comparing two strings in time that depends\nonly on the length of the longer input (iterate zip_longest). Return True iff equal.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from itertools import zip_longest\n\ndef constant_eq(a, b):\n diff = 0\n for x, y in zip_longest(a, b, fillvalue=None):\n diff |= (x != y)\n return not diff", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_eq (test_solution.Test.test_eq) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from itertools import zip_longest\n\ndef constant_eq(a, b):\n diff = 0\n for x, y in zip_longest(a, b, fillvalue=None):\n diff |= (x != y)\n return not diff", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_eq (test_solution.Test.test_eq) ... FAIL\n\n======================================================================\nFAIL: test_eq (test_solution.Test.test_eq)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-zk_iybqw\\test_solution.py\", line 6, in test_eq\n    self.assertTrue(constant_eq(\"abc\", \"abc\"))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "from itertools import zip_longest\n\ndef constant_eq(a, b):\n    diff = 0\n    for x, y in zip_longest(a, b, fillvalue=None):\n        diff |= (x != y)\n    return diff\n", "test_solution.py": "import unittest\nfrom solution import constant_eq\n\nclass Test(unittest.TestCase):\n    def test_eq(self):\n        self.assertTrue(constant_eq(\"abc\", \"abc\"))\n        self.assertFalse(constant_eq(\"abc\", \"ab\"))\n        self.assertFalse(constant_eq(\"abc\", \"abd\"))\n"}}, "topic": "defensive_security"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-sha256-prefix-988fab958287", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.425, "tests": 0.0, "total": 10.149999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_eq (test_solution.Test.test_eq) ... FAIL\n\n======================================================================\nFAIL: test_eq (test_solution.Test.test_eq)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-zk_iybqw\\test_solution.py\", line 6, in test_eq\n    self.assertTrue(constant_eq(\"abc\", \"abc\"))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "sha256_prefix", "tests_passed_after_fix": 1, "topic": "defensive_security"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `constant_eq(a, b)` comparing two strings in time that depends\nonly on the length of the longer input (iterate zip_longest). Return True iff equal.\n\n--- solution.py (buggy) ---\nfrom itertools import zip_longest\n\ndef constant_eq(a, b):\n diff = 0\n for x, y in zip_longest(a, b, fillvalue=None):\n diff |= (x != y)\n return diff\n\n--- test_solution.py ---\nimport unittest\nfrom solution import constant_eq\n\nclass Test(unittest.TestCase):\n def test_eq(self):\n self.assertTrue(constant_eq(\"abc\", \"abc\"))\n self.assertFalse(constant_eq(\"abc\", \"ab\"))\n self.assertFalse(constant_eq(\"abc\", \"abd\"))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_eq (test_solution.Test.test_eq) ... FAIL\n\n======================================================================\nFAIL: test_eq (test_solution.Test.test_eq)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-zk_iybqw\\test_solution.py\", line 6, in test_eq\n self.assertTrue(constant_eq(\"abc\", \"abc\"))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from itertools import zip_longest\n\ndef constant_eq(a, b):\n diff = 0\n for x, y in zip_longest(a, b, fillvalue=None):\n diff |= (x != y)\n return not diff", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_eq (test_solution.Test.test_eq) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "ORDER = {\"DEBUG\": 0, \"INFO\": 1, \"WARN\": 2, \"ERROR\": 3}\n\ndef filter_logs(lines, min_level):\n threshold = ORDER[min_level]\n out = []\n for line in lines:\n lvl = line.split(\" \", 1)[0]\n if ORDER.get(lvl, -1) >= threshold:\n out.append(line)\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "ORDER = {\"DEBUG\": 0, \"INFO\": 1, \"WARN\": 2, \"ERROR\": 3}\n\ndef filter_logs(lines, min_level):\n    threshold = ORDER[min_level]\n    out = []\n    for line in lines:\n        lvl = line.split(\" \", 1)[0]\n        if ORDER.get(lvl, -1) >= threshold:\n            out.append(line)\n    return out\n", "test_solution.py": "import unittest\nfrom solution import filter_logs\n\nclass Test(unittest.TestCase):\n    def test_filter(self):\n        lines = [\"DEBUG x\", \"INFO y\", \"ERROR z\"]\n        self.assertEqual(filter_logs(lines, \"INFO\"), [\"INFO y\", \"ERROR z\"])\n"}}, "topic": "cli_development"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-log-level-filter-c471621f9dc2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 3.825}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "log_level_filter", "topic": "cli_development"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `filter_logs(lines, min_level)` where each line starts with\nDEBUG|INFO|WARN|ERROR. Levels increase in that order. Keep lines at or above min_level.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "ORDER = {\"DEBUG\": 0, \"INFO\": 1, \"WARN\": 2, \"ERROR\": 3}\n\ndef filter_logs(lines, min_level):\n threshold = ORDER[min_level]\n out = []\n for line in lines:\n lvl = line.split(\" \", 1)[0]\n if ORDER.get(lvl, -1) >= threshold:\n out.append(line)\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_filter (test_solution.Test.test_filter) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "ORDER = {\"DEBUG\": 0, \"INFO\": 1, \"WARN\": 2, \"ERROR\": 3}\n\ndef filter_logs(lines, min_level):\n threshold = ORDER[min_level]\n out = []\n for line in lines:\n lvl = line.split(\" \", 1)[0]\n if ORDER.get(lvl, -1) >= threshold:\n out.append(line)\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_filter (test_solution.Test.test_filter) ... FAIL\n\n======================================================================\nFAIL: test_filter (test_solution.Test.test_filter)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-y0tloy1c\\test_solution.py\", line 7, in test_filter\n    self.assertEqual(filter_logs(lines, \"INFO\"), [\"INFO y\", \"ERROR z\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['ERROR z'] != ['INFO y', 'ERROR z']\n\nFirst differing element 0:\n'ERROR z'\n'INFO y'\n\nSecond list contains 1 additional elements.\nFirst extra element 1:\n'ERROR z'\n\n- ['ERROR z']\n+ ['INFO y', 'ERROR z']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "ORDER = {\"DEBUG\": 0, \"INFO\": 1, \"WARN\": 2, \"ERROR\": 3}\n\ndef filter_logs(lines, min_level):\n    threshold = ORDER[min_level]\n    out = []\n    for line in lines:\n        lvl = line.split(\" \", 1)[0]\n        if ORDER.get(lvl, -1) > threshold:\n            out.append(line)\n    return out\n", "test_solution.py": "import unittest\nfrom solution import filter_logs\n\nclass Test(unittest.TestCase):\n    def test_filter(self):\n        lines = [\"DEBUG x\", \"INFO y\", \"ERROR z\"]\n        self.assertEqual(filter_logs(lines, \"INFO\"), [\"INFO y\", \"ERROR z\"])\n"}}, "topic": "cli_development"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-log-level-filter-9ff7dd20e9d9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.774999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_filter (test_solution.Test.test_filter) ... FAIL\n\n======================================================================\nFAIL: test_filter (test_solution.Test.test_filter)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-y0tloy1c\\test_solution.py\", line 7, in test_filter\n    self.assertEqual(filter_logs(lines, \"INFO\"), [\"INFO y\", \"ERROR z\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['ERROR z'] != ['INFO y', 'ERROR z']\n\nFirst differing element 0:\n'ERROR z'\n'INFO y'\n\nSecond list contains 1 additional elements.\nFirst extra element 1:\n'ERROR z'\n\n- ['ERROR z']\n+ ['INFO y', 'ERROR z']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "log_level_filter", "tests_passed_after_fix": 1, "topic": "cli_development"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `filter_logs(lines, min_level)` where each line starts with\nDEBUG|INFO|WARN|ERROR. Levels increase in that order. Keep lines at or above min_level.\n\n--- solution.py (buggy) ---\nORDER = {\"DEBUG\": 0, \"INFO\": 1, \"WARN\": 2, \"ERROR\": 3}\n\ndef filter_logs(lines, min_level):\n threshold = ORDER[min_level]\n out = []\n for line in lines:\n lvl = line.split(\" \", 1)[0]\n if ORDER.get(lvl, -1) > threshold:\n out.append(line)\n return out\n\n--- test_solution.py ---\nimport unittest\nfrom solution import filter_logs\n\nclass Test(unittest.TestCase):\n def test_filter(self):\n lines = [\"DEBUG x\", \"INFO y\", \"ERROR z\"]\n self.assertEqual(filter_logs(lines, \"INFO\"), [\"INFO y\", \"ERROR z\"])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_filter (test_solution.Test.test_filter) ... FAIL\n\n======================================================================\nFAIL: test_filter (test_solution.Test.test_filter)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-y0tloy1c\\test_solution.py\", line 7, in test_filter\n self.assertEqual(filter_logs(lines, \"INFO\"), [\"INFO y\", \"ERROR z\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['ERROR z'] != ['INFO y', 'ERROR z']\n\nFirst differing element 0:\n'ERROR z'\n'INFO y'\n\nSecond list contains 1 additional elements.\nFirst extra element 1:\n'ERROR z'\n\n- ['ERROR z']\n+ ['INFO y', 'ERROR z']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "ORDER = {\"DEBUG\": 0, \"INFO\": 1, \"WARN\": 2, \"ERROR\": 3}\n\ndef filter_logs(lines, min_level):\n threshold = ORDER[min_level]\n out = []\n for line in lines:\n lvl = line.split(\" \", 1)[0]\n if ORDER.get(lvl, -1) >= threshold:\n out.append(line)\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_filter (test_solution.Test.test_filter) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def matmul(a, b):\n if not a or not b or len(a[0]) != len(b):\n raise ValueError(\"shape\")\n cols = len(b[0])\n out = []\n for row in a:\n out.append([sum(row[k] * b[k][j] for k in range(len(b))) for j in range(cols)])\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def matmul(a, b):\n    if not a or not b or len(a[0]) != len(b):\n        raise ValueError(\"shape\")\n    cols = len(b[0])\n    out = []\n    for row in a:\n        out.append([sum(row[k] * b[k][j] for k in range(len(b))) for j in range(cols)])\n    return out\n", "test_solution.py": "import unittest\nfrom solution import matmul\n\nclass Test(unittest.TestCase):\n    def test_mul(self):\n        self.assertEqual(matmul([[1, 2], [3, 4]], [[5, 6], [7, 8]]), [[19, 22], [43, 50]])\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-matrix-mul-a049547791a6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.6}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "matrix_mul", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `matmul(a, b)` for lists of lists of numbers. Raise ValueError\non shape mismatch.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def matmul(a, b):\n if not a or not b or len(a[0]) != len(b):\n raise ValueError(\"shape\")\n cols = len(b[0])\n out = []\n for row in a:\n out.append([sum(row[k] * b[k][j] for k in range(len(b))) for j in range(cols)])\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_mul (test_solution.Test.test_mul) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def char_freq(text):\n out = {}\n for ch in text:\n out[ch] = out.get(ch, 0) + 1\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def char_freq(text):\n    out = {}\n    for ch in text:\n        out[ch] = out.get(ch, 0) + 1\n    return out\n", "test_solution.py": "import unittest\nfrom solution import char_freq\n\nclass Test(unittest.TestCase):\n    def test_freq(self):\n        self.assertEqual(char_freq(\"aba\"), {\"a\": 2, \"b\": 1})\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-huffman-freq-895f36a0c647", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 3.6750000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "huffman_freq", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `char_freq(text)` returning a dict of character -> count,\nomitting zeros. Empty string yields {}.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def char_freq(text):\n out = {}\n for ch in text:\n out[ch] = out.get(ch, 0) + 1\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_freq (test_solution.Test.test_freq) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def char_freq(text):\n out = {}\n for ch in text:\n out[ch] = out.get(ch, 0) + 1\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_freq (test_solution.Test.test_freq) ... FAIL\n\n======================================================================\nFAIL: test_freq (test_solution.Test.test_freq)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4pi401pu\\test_solution.py\", line 6, in test_freq\n    self.assertEqual(char_freq(\"aba\"), {\"a\": 2, \"b\": 1})\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: {'a': -2, 'b': -1} != {'a': 2, 'b': 1}\n- {'a': -2, 'b': -1}\n?       -        -\n\n+ {'a': 2, 'b': 1}\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def char_freq(text):\n    out = {}\n    for ch in text:\n        out[ch] = out.get(ch, 0) - 1\n    return out\n", "test_solution.py": "import unittest\nfrom solution import char_freq\n\nclass Test(unittest.TestCase):\n    def test_freq(self):\n        self.assertEqual(char_freq(\"aba\"), {\"a\": 2, \"b\": 1})\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-huffman-freq-4bebe0b75c56", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.525, "tests": 0.0, "total": 10.149999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_freq (test_solution.Test.test_freq) ... FAIL\n\n======================================================================\nFAIL: test_freq (test_solution.Test.test_freq)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4pi401pu\\test_solution.py\", line 6, in test_freq\n    self.assertEqual(char_freq(\"aba\"), {\"a\": 2, \"b\": 1})\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: {'a': -2, 'b': -1} != {'a': 2, 'b': 1}\n- {'a': -2, 'b': -1}\n?       -        -\n\n+ {'a': 2, 'b': 1}\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "huffman_freq", "tests_passed_after_fix": 1, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `char_freq(text)` returning a dict of character -> count,\nomitting zeros. Empty string yields {}.\n\n--- solution.py (buggy) ---\ndef char_freq(text):\n out = {}\n for ch in text:\n out[ch] = out.get(ch, 0) - 1\n return out\n\n--- test_solution.py ---\nimport unittest\nfrom solution import char_freq\n\nclass Test(unittest.TestCase):\n def test_freq(self):\n self.assertEqual(char_freq(\"aba\"), {\"a\": 2, \"b\": 1})\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_freq (test_solution.Test.test_freq) ... FAIL\n\n======================================================================\nFAIL: test_freq (test_solution.Test.test_freq)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4pi401pu\\test_solution.py\", line 6, in test_freq\n self.assertEqual(char_freq(\"aba\"), {\"a\": 2, \"b\": 1})\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: {'a': -2, 'b': -1} != {'a': 2, 'b': 1}\n- {'a': -2, 'b': -1}\n? - -\n\n+ {'a': 2, 'b': 1}\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def char_freq(text):\n out = {}\n for ch in text:\n out[ch] = out.get(ch, 0) + 1\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_freq (test_solution.Test.test_freq) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "import re\n\ndef parse_ymd(s):\n m = re.fullmatch(r\"(\\d{4})-(\\d{2})-(\\d{2})\", s)\n if not m:\n raise ValueError(s)\n y, mo, d = (int(m.group(i)) for i in range(1, 4))\n if not 1 <= mo <= 12 or not 1 <= d <= 31:\n raise ValueError(s)\n return y, mo, d", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\n\ndef parse_ymd(s):\n    m = re.fullmatch(r\"(\\d{4})-(\\d{2})-(\\d{2})\", s)\n    if not m:\n        raise ValueError(s)\n    y, mo, d = (int(m.group(i)) for i in range(1, 4))\n    if not 1 <= mo <= 12 or not 1 <= d <= 31:\n        raise ValueError(s)\n    return y, mo, d\n", "test_solution.py": "import unittest\nfrom solution import parse_ymd\n\nclass Test(unittest.TestCase):\n    def test_ok(self):\n        self.assertEqual(parse_ymd(\"2026-08-18\"), (2026, 8, 18))\n    def test_bad(self):\n        with self.assertRaises(ValueError):\n            parse_ymd(\"2026-13-01\")\n"}}, "topic": "api_usage"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-iso8601-date-48d56e72db33", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 4.575}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "iso8601_date", "topic": "api_usage"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `parse_ymd(s)` parsing YYYY-MM-DD into (y,m,d) ints. Validate\nmonth 1-12 and day 1-31 (do not validate month lengths).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\n\ndef parse_ymd(s):\n m = re.fullmatch(r\"(\\d{4})-(\\d{2})-(\\d{2})\", s)\n if not m:\n raise ValueError(s)\n y, mo, d = (int(m.group(i)) for i in range(1, 4))\n if not 1 <= mo <= 12 or not 1 <= d <= 31:\n raise ValueError(s)\n return y, mo, d", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_ok (test_solution.Test.test_ok) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "from collections import deque\n\nclass ExpiredQueue:\n def __init__(self):\n self.q = deque()\n\n def push(self, t, item):\n self.q.append((t, item))\n\n def pop_ready(self, now):\n out = []\n while self.q and self.q[0][0] <= now:\n out.append(self.q.popleft()[1])\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import deque\n\nclass ExpiredQueue:\n    def __init__(self):\n        self.q = deque()\n\n    def push(self, t, item):\n        self.q.append((t, item))\n\n    def pop_ready(self, now):\n        out = []\n        while self.q and self.q[0][0] <= now:\n            out.append(self.q.popleft()[1])\n        return out\n", "test_solution.py": "import unittest\nfrom solution import ExpiredQueue\n\nclass Test(unittest.TestCase):\n    def test_pop(self):\n        q = ExpiredQueue()\n        q.push(2, \"a\")\n        q.push(5, \"b\")\n        self.assertEqual(q.pop_ready(3), [\"a\"])\n        self.assertEqual(q.pop_ready(4), [])\n        self.assertEqual(q.pop_ready(5), [\"b\"])\n"}}, "topic": "distributed_systems"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-queue-ttl-ba54c5273800", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 3.7750000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "queue_ttl", "topic": "distributed_systems"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `ExpiredQueue` with `push(t, item)` and `pop_ready(now)` returning\nall items with t <= now in insertion order and removing them.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import deque\n\nclass ExpiredQueue:\n def __init__(self):\n self.q = deque()\n\n def push(self, t, item):\n self.q.append((t, item))\n\n def pop_ready(self, now):\n out = []\n while self.q and self.q[0][0] <= now:\n out.append(self.q.popleft()[1])\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_pop (test_solution.Test.test_pop) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import deque\n\nclass ExpiredQueue:\n def __init__(self):\n self.q = deque()\n\n def push(self, t, item):\n self.q.append((t, item))\n\n def pop_ready(self, now):\n out = []\n while self.q and self.q[0][0] <= now:\n out.append(self.q.popleft()[1])\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_pop (test_solution.Test.test_pop) ... FAIL\n\n======================================================================\nFAIL: test_pop (test_solution.Test.test_pop)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-zh86l1rc\\test_solution.py\", line 11, in test_pop\n    self.assertEqual(q.pop_ready(5), [\"b\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != ['b']\n\nSecond list contains 1 additional elements.\nFirst extra element 0:\n'b'\n\n- []\n+ ['b']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "from collections import deque\n\nclass ExpiredQueue:\n    def __init__(self):\n        self.q = deque()\n\n    def push(self, t, item):\n        self.q.append((t, item))\n\n    def pop_ready(self, now):\n        out = []\n        while self.q and self.q[0][0] < now:\n            out.append(self.q.popleft()[1])\n        return out\n", "test_solution.py": "import unittest\nfrom solution import ExpiredQueue\n\nclass Test(unittest.TestCase):\n    def test_pop(self):\n        q = ExpiredQueue()\n        q.push(2, \"a\")\n        q.push(5, \"b\")\n        self.assertEqual(q.pop_ready(3), [\"a\"])\n        self.assertEqual(q.pop_ready(4), [])\n        self.assertEqual(q.pop_ready(5), [\"b\"])\n"}}, "topic": "distributed_systems"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-queue-ttl-e8968b2d040c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.975}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_pop (test_solution.Test.test_pop) ... FAIL\n\n======================================================================\nFAIL: test_pop (test_solution.Test.test_pop)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-zh86l1rc\\test_solution.py\", line 11, in test_pop\n    self.assertEqual(q.pop_ready(5), [\"b\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != ['b']\n\nSecond list contains 1 additional elements.\nFirst extra element 0:\n'b'\n\n- []\n+ ['b']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "queue_ttl", "tests_passed_after_fix": 1, "topic": "distributed_systems"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `ExpiredQueue` with `push(t, item)` and `pop_ready(now)` returning\nall items with t <= now in insertion order and removing them.\n\n--- solution.py (buggy) ---\nfrom collections import deque\n\nclass ExpiredQueue:\n def __init__(self):\n self.q = deque()\n\n def push(self, t, item):\n self.q.append((t, item))\n\n def pop_ready(self, now):\n out = []\n while self.q and self.q[0][0] < now:\n out.append(self.q.popleft()[1])\n return out\n\n--- test_solution.py ---\nimport unittest\nfrom solution import ExpiredQueue\n\nclass Test(unittest.TestCase):\n def test_pop(self):\n q = ExpiredQueue()\n q.push(2, \"a\")\n q.push(5, \"b\")\n self.assertEqual(q.pop_ready(3), [\"a\"])\n self.assertEqual(q.pop_ready(4), [])\n self.assertEqual(q.pop_ready(5), [\"b\"])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_pop (test_solution.Test.test_pop) ... FAIL\n\n======================================================================\nFAIL: test_pop (test_solution.Test.test_pop)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-zh86l1rc\\test_solution.py\", line 11, in test_pop\n self.assertEqual(q.pop_ready(5), [\"b\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != ['b']\n\nSecond list contains 1 additional elements.\nFirst extra element 0:\n'b'\n\n- []\n+ ['b']\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import deque\n\nclass ExpiredQueue:\n def __init__(self):\n self.q = deque()\n\n def push(self, t, item):\n self.q.append((t, item))\n\n def pop_ready(self, now):\n out = []\n while self.q and self.q[0][0] <= now:\n out.append(self.q.popleft()[1])\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_pop (test_solution.Test.test_pop) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def wrapping_checksum(data):\n return sum(data) % 256", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def wrapping_checksum(data):\n    return sum(data) % 256\n", "test_solution.py": "import unittest\nfrom solution import wrapping_checksum\n\nclass Test(unittest.TestCase):\n    def test_sum(self):\n        self.assertEqual(wrapping_checksum(bytes([255, 2])), 1)\n"}}, "topic": "networking"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-crc-like-sum-3d708315ebe3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.25, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.075}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "crc_like_sum", "topic": "networking"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `wrapping_checksum(data: bytes)` as (sum of bytes) mod 256.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def wrapping_checksum(data):\n return sum(data) % 256", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_sum (test_solution.Test.test_sum) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def block_depth(lines):\n out = []\n for line in lines:\n if not line.strip():\n continue\n spaces = len(line) - len(line.lstrip(\" \"))\n if spaces % 2:\n raise ValueError(\"indent\")\n out.append(spaces // 2)\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def block_depth(lines):\n    out = []\n    for line in lines:\n        if not line.strip():\n            continue\n        spaces = len(line) - len(line.lstrip(\" \"))\n        if spaces % 2:\n            raise ValueError(\"indent\")\n        out.append(spaces // 2)\n    return out\n", "test_solution.py": "import unittest\nfrom solution import block_depth\n\nclass Test(unittest.TestCase):\n    def test_d(self):\n        self.assertEqual(block_depth([\"a\", \"  b\", \"    c\"]), [0, 1, 2])\n"}}, "topic": "compiler_development"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-indent-blocks-fbfc145d12a1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.65}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "indent_blocks", "topic": "compiler_development"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `block_depth(lines)` using leading 2-space indents. Return a list\nof depths per non-empty line. Raise ValueError if indent is not a multiple of 2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def block_depth(lines):\n out = []\n for line in lines:\n if not line.strip():\n continue\n spaces = len(line) - len(line.lstrip(\" \"))\n if spaces % 2:\n raise ValueError(\"indent\")\n out.append(spaces // 2)\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_d (test_solution.Test.test_d) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def fresh_names(vars):\n seen = {}\n out = []\n for name in vars:\n n = seen.get(name, 0)\n out.append(name if n == 0 else f\"{name}#{n}\")\n seen[name] = n + 1\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def fresh_names(vars):\n    seen = {}\n    out = []\n    for name in vars:\n        n = seen.get(name, 0)\n        out.append(name if n == 0 else f\"{name}#{n}\")\n        seen[name] = n + 1\n    return out\n", "test_solution.py": "import unittest\nfrom solution import fresh_names\n\nclass Test(unittest.TestCase):\n    def test_ren(self):\n        self.assertEqual(fresh_names([\"x\", \"y\", \"x\"]), [\"x\", \"y\", \"x#1\"])\n"}}, "topic": "compiler_development"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-ssa-rename-f92239238afb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.925, "tests": 0.0, "total": 4.300000000000001}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "ssa_rename", "topic": "compiler_development"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `fresh_names(vars)` assigning x, x#1, x#2, ... in order of first\nappearance counts: given a list of variable uses, return a list of renamed\noccurrences where the k-th use of name `v` becomes `v` then `v#1` etc.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def fresh_names(vars):\n seen = {}\n out = []\n for name in vars:\n n = seen.get(name, 0)\n out.append(name if n == 0 else f\"{name}#{n}\")\n seen[name] = n + 1\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ren (test_solution.Test.test_ren) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def fresh_names(vars):\n seen = {}\n out = []\n for name in vars:\n n = seen.get(name, 0)\n out.append(name if n == 0 else f\"{name}#{n}\")\n seen[name] = n + 1\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_ren (test_solution.Test.test_ren) ... FAIL\n\n======================================================================\nFAIL: test_ren (test_solution.Test.test_ren)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-wlxnxm_n\\test_solution.py\", line 6, in test_ren\n    self.assertEqual(fresh_names([\"x\", \"y\", \"x\"]), [\"x\", \"y\", \"x#1\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['x#0', 'y#0', 'x'] != ['x', 'y', 'x#1']\n\nFirst differing element 0:\n'x#0'\n'x'\n\n- ['x#0', 'y#0', 'x']\n?    --     --\n\n+ ['x', 'y', 'x#1']\n?              ++\n\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def fresh_names(vars):\n    seen = {}\n    out = []\n    for name in vars:\n        n = seen.get(name, 0)\n        out.append(name if n != 0 else f\"{name}#{n}\")\n        seen[name] = n + 1\n    return out\n", "test_solution.py": "import unittest\nfrom solution import fresh_names\n\nclass Test(unittest.TestCase):\n    def test_ren(self):\n        self.assertEqual(fresh_names([\"x\", \"y\", \"x\"]), [\"x\", \"y\", \"x#1\"])\n"}}, "topic": "compiler_development"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-ssa-rename-d925f21a72dc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.7}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_ren (test_solution.Test.test_ren) ... FAIL\n\n======================================================================\nFAIL: test_ren (test_solution.Test.test_ren)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-wlxnxm_n\\test_solution.py\", line 6, in test_ren\n    self.assertEqual(fresh_names([\"x\", \"y\", \"x\"]), [\"x\", \"y\", \"x#1\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['x#0', 'y#0', 'x'] != ['x', 'y', 'x#1']\n\nFirst differing element 0:\n'x#0'\n'x'\n\n- ['x#0', 'y#0', 'x']\n?    --     --\n\n+ ['x', 'y', 'x#1']\n?              ++\n\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "ssa_rename", "tests_passed_after_fix": 1, "topic": "compiler_development"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `fresh_names(vars)` assigning x, x#1, x#2, ... in order of first\nappearance counts: given a list of variable uses, return a list of renamed\noccurrences where the k-th use of name `v` becomes `v` then `v#1` etc.\n\n--- solution.py (buggy) ---\ndef fresh_names(vars):\n seen = {}\n out = []\n for name in vars:\n n = seen.get(name, 0)\n out.append(name if n != 0 else f\"{name}#{n}\")\n seen[name] = n + 1\n return out\n\n--- test_solution.py ---\nimport unittest\nfrom solution import fresh_names\n\nclass Test(unittest.TestCase):\n def test_ren(self):\n self.assertEqual(fresh_names([\"x\", \"y\", \"x\"]), [\"x\", \"y\", \"x#1\"])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_ren (test_solution.Test.test_ren) ... FAIL\n\n======================================================================\nFAIL: test_ren (test_solution.Test.test_ren)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-wlxnxm_n\\test_solution.py\", line 6, in test_ren\n self.assertEqual(fresh_names([\"x\", \"y\", \"x\"]), [\"x\", \"y\", \"x#1\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['x#0', 'y#0', 'x'] != ['x', 'y', 'x#1']\n\nFirst differing element 0:\n'x#0'\n'x'\n\n- ['x#0', 'y#0', 'x']\n? -- --\n\n+ ['x', 'y', 'x#1']\n? ++\n\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:45Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def fresh_names(vars):\n seen = {}\n out = []\n for name in vars:\n n = seen.get(name, 0)\n out.append(name if n == 0 else f\"{name}#{n}\")\n seen[name] = n + 1\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ren (test_solution.Test.test_ren) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "import re\n\ndef format_pin(name, version):\n if not re.fullmatch(r\"[a-z0-9][a-z0-9._-]*\", name):\n raise ValueError(\"name\")\n if not re.fullmatch(r\"[0-9]+(\\.[0-9]+)*\", version):\n raise ValueError(\"version\")\n return f\"{name}=={version}\"", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\n\ndef format_pin(name, version):\n    if not re.fullmatch(r\"[a-z0-9][a-z0-9._-]*\", name):\n        raise ValueError(\"name\")\n    if not re.fullmatch(r\"[0-9]+(\\.[0-9]+)*\", version):\n        raise ValueError(\"version\")\n    return f\"{name}=={version}\"\n", "test_solution.py": "import unittest\nfrom solution import format_pin\n\nclass Test(unittest.TestCase):\n    def test_pin(self):\n        self.assertEqual(format_pin(\"foo.bar\", \"1.2.3\"), \"foo.bar==1.2.3\")\n        with self.assertRaises(ValueError):\n            format_pin(\"Foo\", \"1\")\n"}}, "topic": "package_management"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-lockfile-pin-515b47124038", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 6.35}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "lockfile_pin", "topic": "package_management"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `format_pin(name, version)` as `name==version` after validating\nname `[a-z0-9][a-z0-9._-]*` and version `[0-9]+(\\.[0-9]+)*`.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\n\ndef format_pin(name, version):\n if not re.fullmatch(r\"[a-z0-9][a-z0-9._-]*\", name):\n raise ValueError(\"name\")\n if not re.fullmatch(r\"[0-9]+(\\.[0-9]+)*\", version):\n raise ValueError(\"version\")\n return f\"{name}=={version}\"", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_pin (test_solution.Test.test_pin) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def tabs_in_indent(text):\n for line in text.splitlines():\n i = 0\n while i < len(line) and line[i] in \" \\t\":\n if line[i] == \"\\t\":\n return True\n i += 1\n return False", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def tabs_in_indent(text):\n    for line in text.splitlines():\n        i = 0\n        while i < len(line) and line[i] in \" \\t\":\n            if line[i] == \"\\t\":\n                return True\n            i += 1\n    return False\n", "test_solution.py": "import unittest\nfrom solution import tabs_in_indent\n\nclass Test(unittest.TestCase):\n    def test_tab(self):\n        self.assertTrue(tabs_in_indent(\"a\\n\\tb\\n\"))\n        self.assertFalse(tabs_in_indent(\"a\\n  b\\n\"))\n"}}, "topic": "configuration"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-yaml-indent-check-53ba00fe9a91", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.625}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "yaml_indent_check", "topic": "configuration"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `tabs_in_indent(text)` returning True if any line uses a tab in\nits leading whitespace.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def tabs_in_indent(text):\n for line in text.splitlines():\n i = 0\n while i < len(line) and line[i] in \" \\t\":\n if line[i] == \"\\t\":\n return True\n i += 1\n return False", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_tab (test_solution.Test.test_tab) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def tabs_in_indent(text):\n for line in text.splitlines():\n i = 0\n while i < len(line) and line[i] in \" \\t\":\n if line[i] == \"\\t\":\n return True\n i += 1\n return False", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_tab (test_solution.Test.test_tab) ... FAIL\n\n======================================================================\nFAIL: test_tab (test_solution.Test.test_tab)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bl0l6b2x\\test_solution.py\", line 6, in test_tab\n    self.assertTrue(tabs_in_indent(\"a\\n\\tb\\n\"))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def tabs_in_indent(text):\n    for line in text.splitlines():\n        i = 0\n        while i < len(line) and line[i] in \" \\t\":\n            if line[i] == \"\\t\":\n                return False\n            i += 1\n    return False\n", "test_solution.py": "import unittest\nfrom solution import tabs_in_indent\n\nclass Test(unittest.TestCase):\n    def test_tab(self):\n        self.assertTrue(tabs_in_indent(\"a\\n\\tb\\n\"))\n        self.assertFalse(tabs_in_indent(\"a\\n  b\\n\"))\n"}}, "topic": "configuration"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-yaml-indent-check-54a58f5c0e6c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.2, "tests": 0.0, "total": 9.925}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_tab (test_solution.Test.test_tab) ... FAIL\n\n======================================================================\nFAIL: test_tab (test_solution.Test.test_tab)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bl0l6b2x\\test_solution.py\", line 6, in test_tab\n    self.assertTrue(tabs_in_indent(\"a\\n\\tb\\n\"))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "yaml_indent_check", "tests_passed_after_fix": 1, "topic": "configuration"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `tabs_in_indent(text)` returning True if any line uses a tab in\nits leading whitespace.\n\n--- solution.py (buggy) ---\ndef tabs_in_indent(text):\n for line in text.splitlines():\n i = 0\n while i < len(line) and line[i] in \" \\t\":\n if line[i] == \"\\t\":\n return False\n i += 1\n return False\n\n--- test_solution.py ---\nimport unittest\nfrom solution import tabs_in_indent\n\nclass Test(unittest.TestCase):\n def test_tab(self):\n self.assertTrue(tabs_in_indent(\"a\\n\\tb\\n\"))\n self.assertFalse(tabs_in_indent(\"a\\n b\\n\"))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_tab (test_solution.Test.test_tab) ... FAIL\n\n======================================================================\nFAIL: test_tab (test_solution.Test.test_tab)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bl0l6b2x\\test_solution.py\", line 6, in test_tab\n self.assertTrue(tabs_in_indent(\"a\\n\\tb\\n\"))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def tabs_in_indent(text):\n for line in text.splitlines():\n i = 0\n while i < len(line) and line[i] in \" \\t\":\n if line[i] == \"\\t\":\n return True\n i += 1\n return False", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_tab (test_solution.Test.test_tab) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def overall_health(checks):\n if not checks:\n return \"unknown\"\n return \"fail\" if any(c == \"fail\" for c in checks) else \"ok\"", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def overall_health(checks):\n    if not checks:\n        return \"unknown\"\n    return \"fail\" if any(c == \"fail\" for c in checks) else \"ok\"\n", "test_solution.py": "import unittest\nfrom solution import overall_health\n\nclass Test(unittest.TestCase):\n    def test_h(self):\n        self.assertEqual(overall_health([\"ok\", \"fail\"]), \"fail\")\n        self.assertEqual(overall_health([]), \"unknown\")\n"}}, "topic": "devops"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-health-aggregate-64a07e8dba79", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 3.45}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "health_aggregate", "topic": "devops"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `overall_health(checks)` where each check is `ok` or `fail`.\nReturn `fail` if any fail, `ok` if all ok, `unknown` if empty.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def overall_health(checks):\n if not checks:\n return \"unknown\"\n return \"fail\" if any(c == \"fail\" for c in checks) else \"ok\"", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_h (test_solution.Test.test_h) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def chunks(seq, n):\n if n < 1:\n raise ValueError(\"n\")\n buf = []\n for item in seq:\n buf.append(item)\n if len(buf) == n:\n yield buf\n buf = []\n if buf:\n yield buf", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def chunks(seq, n):\n    if n < 1:\n        raise ValueError(\"n\")\n    buf = []\n    for item in seq:\n        buf.append(item)\n        if len(buf) == n:\n            yield buf\n            buf = []\n    if buf:\n        yield buf\n", "test_solution.py": "import unittest\nfrom solution import chunks\n\nclass Test(unittest.TestCase):\n    def test_c(self):\n        self.assertEqual(list(chunks([1, 2, 3, 4, 5], 2)), [[1, 2], [3, 4], [5]])\n"}}, "topic": "cli_development"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-chunked-read-195ed981691f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 3.5}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "chunked_read", "topic": "cli_development"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `chunks(seq, n)` yielding successive lists of length n, last\npossibly shorter. n must be >= 1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def chunks(seq, n):\n if n < 1:\n raise ValueError(\"n\")\n buf = []\n for item in seq:\n buf.append(item)\n if len(buf) == n:\n yield buf\n buf = []\n if buf:\n yield buf", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_c (test_solution.Test.test_c) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def chunks(seq, n):\n if n < 1:\n raise ValueError(\"n\")\n buf = []\n for item in seq:\n buf.append(item)\n if len(buf) == n:\n yield buf\n buf = []\n if buf:\n yield buf", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_c (test_solution.Test.test_c) ... FAIL\n\n======================================================================\nFAIL: test_c (test_solution.Test.test_c)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-aqu97_k1\\test_solution.py\", line 6, in test_c\n    self.assertEqual(list(chunks([1, 2, 3, 4, 5], 2)), [[1, 2], [3, 4], [5]])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1], [2], [3], [4], [5]] != [[1, 2], [3, 4], [5]]\n\nFirst differing element 0:\n[1]\n[1, 2]\n\nFirst list contains 2 additional elements.\nFirst extra element 3:\n[4]\n\n- [[1], [2], [3], [4], [5]]\n?    -  -      -  -\n\n+ [[1, 2], [3, 4], [5]]\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def chunks(seq, n):\n    if n < 1:\n        raise ValueError(\"n\")\n    buf = []\n    for item in seq:\n        buf.append(item)\n        if len(buf) != n:\n            yield buf\n            buf = []\n    if buf:\n        yield buf\n", "test_solution.py": "import unittest\nfrom solution import chunks\n\nclass Test(unittest.TestCase):\n    def test_c(self):\n        self.assertEqual(list(chunks([1, 2, 3, 4, 5], 2)), [[1, 2], [3, 4], [5]])\n"}}, "topic": "cli_development"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-chunked-read-79f2b2a4f399", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.774999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_c (test_solution.Test.test_c) ... FAIL\n\n======================================================================\nFAIL: test_c (test_solution.Test.test_c)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-aqu97_k1\\test_solution.py\", line 6, in test_c\n    self.assertEqual(list(chunks([1, 2, 3, 4, 5], 2)), [[1, 2], [3, 4], [5]])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1], [2], [3], [4], [5]] != [[1, 2], [3, 4], [5]]\n\nFirst differing element 0:\n[1]\n[1, 2]\n\nFirst list contains 2 additional elements.\nFirst extra element 3:\n[4]\n\n- [[1], [2], [3], [4], [5]]\n?    -  -      -  -\n\n+ [[1, 2], [3, 4], [5]]\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "chunked_read", "tests_passed_after_fix": 1, "topic": "cli_development"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `chunks(seq, n)` yielding successive lists of length n, last\npossibly shorter. n must be >= 1.\n\n--- solution.py (buggy) ---\ndef chunks(seq, n):\n if n < 1:\n raise ValueError(\"n\")\n buf = []\n for item in seq:\n buf.append(item)\n if len(buf) != n:\n yield buf\n buf = []\n if buf:\n yield buf\n\n--- test_solution.py ---\nimport unittest\nfrom solution import chunks\n\nclass Test(unittest.TestCase):\n def test_c(self):\n self.assertEqual(list(chunks([1, 2, 3, 4, 5], 2)), [[1, 2], [3, 4], [5]])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_c (test_solution.Test.test_c) ... FAIL\n\n======================================================================\nFAIL: test_c (test_solution.Test.test_c)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-aqu97_k1\\test_solution.py\", line 6, in test_c\n self.assertEqual(list(chunks([1, 2, 3, 4, 5], 2)), [[1, 2], [3, 4], [5]])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1], [2], [3], [4], [5]] != [[1, 2], [3, 4], [5]]\n\nFirst differing element 0:\n[1]\n[1, 2]\n\nFirst list contains 2 additional elements.\nFirst extra element 3:\n[4]\n\n- [[1], [2], [3], [4], [5]]\n? - - - -\n\n+ [[1, 2], [3, 4], [5]]\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def chunks(seq, n):\n if n < 1:\n raise ValueError(\"n\")\n buf = []\n for item in seq:\n buf.append(item)\n if len(buf) == n:\n yield buf\n buf = []\n if buf:\n yield buf", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_c (test_solution.Test.test_c) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def simplify(node):\n if node[0] == \"num\":\n return node\n inner = simplify(node[1])\n if inner[0] == \"neg\":\n return inner[1]\n return (\"neg\", inner)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def simplify(node):\n    if node[0] == \"num\":\n        return node\n    inner = simplify(node[1])\n    if inner[0] == \"neg\":\n        return inner[1]\n    return (\"neg\", inner)\n", "test_solution.py": "import unittest\nfrom solution import simplify\n\nclass Test(unittest.TestCase):\n    def test_s(self):\n        self.assertEqual(simplify((\"neg\", (\"neg\", (\"num\", 3)))), (\"num\", 3))\n"}}, "topic": "language_design"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-expr-simplify-double-neg-7d6a4d714970", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.325}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "expr_simplify_double_neg", "topic": "language_design"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "AST nodes are tuples: ('neg', node) or ('num', int). Implement `simplify(node)`\ncancelling double negation.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def simplify(node):\n if node[0] == \"num\":\n return node\n inner = simplify(node[1])\n if inner[0] == \"neg\":\n return inner[1]\n return (\"neg\", inner)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_s (test_solution.Test.test_s) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def simplify(node):\n if node[0] == \"num\":\n return node\n inner = simplify(node[1])\n if inner[0] == \"neg\":\n return inner[1]\n return (\"neg\", inner)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_s (test_solution.Test.test_s) ... FAIL\n\n======================================================================\nFAIL: test_s (test_solution.Test.test_s)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bvukoenz\\test_solution.py\", line 6, in test_s\n    self.assertEqual(simplify((\"neg\", (\"neg\", (\"num\", 3)))), (\"num\", 3))\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Tuples differ: ('neg', ('neg', ('num', 3))) != ('num', 3)\n\nFirst differing element 0:\n'neg'\n'num'\n\n- ('neg', ('neg', ('num', 3)))\n+ ('num', 3)\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def simplify(node):\n    if node[0] != \"num\":\n        return node\n    inner = simplify(node[1])\n    if inner[0] == \"neg\":\n        return inner[1]\n    return (\"neg\", inner)\n", "test_solution.py": "import unittest\nfrom solution import simplify\n\nclass Test(unittest.TestCase):\n    def test_s(self):\n        self.assertEqual(simplify((\"neg\", (\"neg\", (\"num\", 3)))), (\"num\", 3))\n"}}, "topic": "language_design"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-expr-simplify-double-neg-e89118be551d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.65, "tests": 0.0, "total": 10.325}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_s (test_solution.Test.test_s) ... FAIL\n\n======================================================================\nFAIL: test_s (test_solution.Test.test_s)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bvukoenz\\test_solution.py\", line 6, in test_s\n    self.assertEqual(simplify((\"neg\", (\"neg\", (\"num\", 3)))), (\"num\", 3))\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Tuples differ: ('neg', ('neg', ('num', 3))) != ('num', 3)\n\nFirst differing element 0:\n'neg'\n'num'\n\n- ('neg', ('neg', ('num', 3)))\n+ ('num', 3)\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "expr_simplify_double_neg", "tests_passed_after_fix": 1, "topic": "language_design"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nAST nodes are tuples: ('neg', node) or ('num', int). Implement `simplify(node)`\ncancelling double negation.\n\n--- solution.py (buggy) ---\ndef simplify(node):\n if node[0] != \"num\":\n return node\n inner = simplify(node[1])\n if inner[0] == \"neg\":\n return inner[1]\n return (\"neg\", inner)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import simplify\n\nclass Test(unittest.TestCase):\n def test_s(self):\n self.assertEqual(simplify((\"neg\", (\"neg\", (\"num\", 3)))), (\"num\", 3))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_s (test_solution.Test.test_s) ... FAIL\n\n======================================================================\nFAIL: test_s (test_solution.Test.test_s)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bvukoenz\\test_solution.py\", line 6, in test_s\n self.assertEqual(simplify((\"neg\", (\"neg\", (\"num\", 3)))), (\"num\", 3))\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Tuples differ: ('neg', ('neg', ('num', 3))) != ('num', 3)\n\nFirst differing element 0:\n'neg'\n'num'\n\n- ('neg', ('neg', ('num', 3)))\n+ ('num', 3)\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def simplify(node):\n if node[0] == \"num\":\n return node\n inner = simplify(node[1])\n if inner[0] == \"neg\":\n return inner[1]\n return (\"neg\", inner)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_s (test_solution.Test.test_s) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "CHARS = \" .:-=+*#%@\"\n\ndef spark(nums):\n if not nums:\n return \"\"\n lo, hi = min(nums), max(nums)\n if lo == hi:\n return CHARS[-1] * len(nums)\n out = []\n for x in nums:\n idx = int((x - lo) / (hi - lo) * (len(CHARS) - 1))\n out.append(CHARS[idx])\n return \"\".join(out)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "CHARS = \" .:-=+*#%@\"\n\ndef spark(nums):\n    if not nums:\n        return \"\"\n    lo, hi = min(nums), max(nums)\n    if lo == hi:\n        return CHARS[-1] * len(nums)\n    out = []\n    for x in nums:\n        idx = int((x - lo) / (hi - lo) * (len(CHARS) - 1))\n        out.append(CHARS[idx])\n    return \"\".join(out)\n", "test_solution.py": "import unittest\nfrom solution import spark\n\nclass Test(unittest.TestCase):\n    def test_sp(self):\n        self.assertEqual(len(spark([0, 5, 10])), 3)\n        self.assertEqual(spark([3, 3, 3]), \"@@@\")\n"}}, "topic": "documentation"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-histogram-ascii-619c33b5a4e4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 6.75}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "histogram_ascii", "topic": "documentation"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `spark(nums)` mapping each value to a bar character from\n` .:-=+*#%@` by min-max scaling. Constant arrays become all last char. Return a string.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "CHARS = \" .:-=+*#%@\"\n\ndef spark(nums):\n if not nums:\n return \"\"\n lo, hi = min(nums), max(nums)\n if lo == hi:\n return CHARS[-1] * len(nums)\n out = []\n for x in nums:\n idx = int((x - lo) / (hi - lo) * (len(CHARS) - 1))\n out.append(CHARS[idx])\n return \"\".join(out)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_sp (test_solution.Test.test_sp) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "CHARS = \" .:-=+*#%@\"\n\ndef spark(nums):\n if not nums:\n return \"\"\n lo, hi = min(nums), max(nums)\n if lo == hi:\n return CHARS[-1] * len(nums)\n out = []\n for x in nums:\n idx = int((x - lo) / (hi - lo) * (len(CHARS) - 1))\n out.append(CHARS[idx])\n return \"\".join(out)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_sp (test_solution.Test.test_sp) ... ERROR\n\n======================================================================\nERROR: test_sp (test_solution.Test.test_sp)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-93wn67cd\\test_solution.py\", line 7, in test_sp\n    self.assertEqual(spark([3, 3, 3]), \"@@@\")\n                     ~~~~~^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-93wn67cd\\solution.py\", line 11, in spark\n    idx = int((x - lo) / (hi - lo) * (len(CHARS) - 1))\n              ~~~~~~~~~^~~~~~~~~~~\nZeroDivisionError: division by zero\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "CHARS = \" .:-=+*#%@\"\n\ndef spark(nums):\n    if not nums:\n        return \"\"\n    lo, hi = min(nums), max(nums)\n    if lo != hi:\n        return CHARS[-1] * len(nums)\n    out = []\n    for x in nums:\n        idx = int((x - lo) / (hi - lo) * (len(CHARS) - 1))\n        out.append(CHARS[idx])\n    return \"\".join(out)\n", "test_solution.py": "import unittest\nfrom solution import spark\n\nclass Test(unittest.TestCase):\n    def test_sp(self):\n        self.assertEqual(len(spark([0, 5, 10])), 3)\n        self.assertEqual(spark([3, 3, 3]), \"@@@\")\n"}}, "topic": "documentation"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-histogram-ascii-449a648454cc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.85}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 0, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_sp (test_solution.Test.test_sp) ... ERROR\n\n======================================================================\nERROR: test_sp (test_solution.Test.test_sp)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-93wn67cd\\test_solution.py\", line 7, in test_sp\n    self.assertEqual(spark([3, 3, 3]), \"@@@\")\n                     ~~~~~^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-93wn67cd\\solution.py\", line 11, in spark\n    idx = int((x - lo) / (hi - lo) * (len(CHARS) - 1))\n              ~~~~~~~~~^~~~~~~~~~~\nZeroDivisionError: division by zero\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "histogram_ascii", "tests_passed_after_fix": 1, "topic": "documentation"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `spark(nums)` mapping each value to a bar character from\n` .:-=+*#%@` by min-max scaling. Constant arrays become all last char. Return a string.\n\n--- solution.py (buggy) ---\nCHARS = \" .:-=+*#%@\"\n\ndef spark(nums):\n if not nums:\n return \"\"\n lo, hi = min(nums), max(nums)\n if lo != hi:\n return CHARS[-1] * len(nums)\n out = []\n for x in nums:\n idx = int((x - lo) / (hi - lo) * (len(CHARS) - 1))\n out.append(CHARS[idx])\n return \"\".join(out)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import spark\n\nclass Test(unittest.TestCase):\n def test_sp(self):\n self.assertEqual(len(spark([0, 5, 10])), 3)\n self.assertEqual(spark([3, 3, 3]), \"@@@\")\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_sp (test_solution.Test.test_sp) ... ERROR\n\n======================================================================\nERROR: test_sp (test_solution.Test.test_sp)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-93wn67cd\\test_solution.py\", line 7, in test_sp\n self.assertEqual(spark([3, 3, 3]), \"@@@\")\n ~~~~~^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-93wn67cd\\solution.py\", line 11, in spark\n idx = int((x - lo) / (hi - lo) * (len(CHARS) - 1))\n ~~~~~~~~~^~~~~~~~~~~\nZeroDivisionError: division by zero\n\n----------------------------------------------------------------------\nRan 1 test in 0.001s\n\nFAILED (errors=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "CHARS = \" .:-=+*#%@\"\n\ndef spark(nums):\n if not nums:\n return \"\"\n lo, hi = min(nums), max(nums)\n if lo == hi:\n return CHARS[-1] * len(nums)\n out = []\n for x in nums:\n idx = int((x - lo) / (hi - lo) * (len(CHARS) - 1))\n out.append(CHARS[idx])\n return \"\".join(out)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_sp (test_solution.Test.test_sp) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def tripleneg(n):\n return n*3 if n<0 else n+3", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def tripleneg(n):\n    return n*3 if n<0 else n+3\n", "test_solution.py": "import unittest\nfrom solution import tripleneg\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(tripleneg(-4), -12)\n    def test_1(self):\n        self.assertEqual(tripleneg(-3), -9)\n    def test_2(self):\n        self.assertEqual(tripleneg(-2), -6)\n    def test_3(self):\n        self.assertEqual(tripleneg(-1), -3)\n    def test_4(self):\n        self.assertEqual(tripleneg(0), 3)\n    def test_5(self):\n        self.assertEqual(tripleneg(1), 4)\n    def test_6(self):\n        self.assertEqual(tripleneg(2), 5)\n    def test_7(self):\n        self.assertEqual(tripleneg(3), 6)\n    def test_8(self):\n        self.assertEqual(tripleneg(4), 7)\n    def test_9(self):\n        self.assertEqual(tripleneg(5), 8)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-tripleneg-f55c23215c56", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 4.375}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_tripleneg", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `tripleneg`: Return n*3 if n<0 else n+3. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def tripleneg(n):\n return n*3 if n<0 else n+3", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 10}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 10 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 10, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 10}}
{"answer": "def clamp8(n):\n return 0 if n<0 else 8 if n>8 else n", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def clamp8(n):\n    return 0 if n<0 else 8 if n>8 else n\n", "test_solution.py": "import unittest\nfrom solution import clamp8\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(clamp8(-2), 0)\n    def test_1(self):\n        self.assertEqual(clamp8(-1), 0)\n    def test_2(self):\n        self.assertEqual(clamp8(0), 0)\n    def test_3(self):\n        self.assertEqual(clamp8(1), 1)\n    def test_4(self):\n        self.assertEqual(clamp8(2), 2)\n    def test_5(self):\n        self.assertEqual(clamp8(3), 3)\n    def test_6(self):\n        self.assertEqual(clamp8(4), 4)\n    def test_7(self):\n        self.assertEqual(clamp8(5), 5)\n    def test_8(self):\n        self.assertEqual(clamp8(6), 6)\n    def test_9(self):\n        self.assertEqual(clamp8(7), 7)\n    def test_10(self):\n        self.assertEqual(clamp8(8), 8)\n    def test_11(self):\n        self.assertEqual(clamp8(9), 8)\n    def test_12(self):\n        self.assertEqual(clamp8(10), 8)\n    def test_13(self):\n        self.assertEqual(clamp8(11), 8)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-clamp8-45c5ed2a001b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.875, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.8000000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_clamp8", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `clamp8`: Clamp n into [0, 8]. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def clamp8(n):\n return 0 if n<0 else 8 if n>8 else n", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 14}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 14 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 14, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 14}}
{"answer": "def ones_mod(n):\n return n % 9", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def ones_mod(n):\n    return n % 9\n", "test_solution.py": "import unittest\nfrom solution import ones_mod\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(ones_mod(0), 0)\n    def test_1(self):\n        self.assertEqual(ones_mod(1), 1)\n    def test_2(self):\n        self.assertEqual(ones_mod(2), 2)\n    def test_3(self):\n        self.assertEqual(ones_mod(3), 3)\n    def test_4(self):\n        self.assertEqual(ones_mod(4), 4)\n    def test_5(self):\n        self.assertEqual(ones_mod(5), 5)\n    def test_6(self):\n        self.assertEqual(ones_mod(6), 6)\n    def test_7(self):\n        self.assertEqual(ones_mod(7), 7)\n    def test_8(self):\n        self.assertEqual(ones_mod(8), 8)\n    def test_9(self):\n        self.assertEqual(ones_mod(9), 0)\n    def test_10(self):\n        self.assertEqual(ones_mod(10), 1)\n    def test_11(self):\n        self.assertEqual(ones_mod(11), 2)\n    def test_12(self):\n        self.assertEqual(ones_mod(12), 3)\n    def test_13(self):\n        self.assertEqual(ones_mod(13), 4)\n    def test_14(self):\n        self.assertEqual(ones_mod(14), 5)\n    def test_15(self):\n        self.assertEqual(ones_mod(15), 6)\n    def test_16(self):\n        self.assertEqual(ones_mod(16), 7)\n    def test_17(self):\n        self.assertEqual(ones_mod(17), 8)\n    def test_18(self):\n        self.assertEqual(ones_mod(18), 0)\n    def test_19(self):\n        self.assertEqual(ones_mod(19), 1)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-ones-mod-a3bd8b598f6a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 1.175, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 4.375}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_ones_mod", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `ones_mod`: Return n % 9, with 0 mapping to 0 (digital-root step). Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:46Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def ones_mod(n):\n return n % 9", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 20}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_14 (test_solution.Test.test_14) ... ok\ntest_15 (test_solution.Test.test_15) ... ok\ntest_16 (test_solution.Test.test_16) ... ok\ntest_17 (test_solution.Test.test_17) ... ok\ntest_18 (test_solution.Test.test_18) ... ok\ntest_19 (test_solution.Test.test_19) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 20 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 20, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 20}}
{"answer": "def is_sq(n):\n if n<0:\n return False\n r=int(n**0.5)\n return r*r==n", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def is_sq(n):\n    if n<0:\n        return False\n    r=int(n**0.5)\n    return r*r==n\n", "test_solution.py": "import unittest\nfrom solution import is_sq\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(is_sq(-1), False)\n    def test_1(self):\n        self.assertEqual(is_sq(0), True)\n    def test_2(self):\n        self.assertEqual(is_sq(1), True)\n    def test_3(self):\n        self.assertEqual(is_sq(2), False)\n    def test_4(self):\n        self.assertEqual(is_sq(3), False)\n    def test_5(self):\n        self.assertEqual(is_sq(4), True)\n    def test_6(self):\n        self.assertEqual(is_sq(5), False)\n    def test_7(self):\n        self.assertEqual(is_sq(6), False)\n    def test_8(self):\n        self.assertEqual(is_sq(7), False)\n    def test_9(self):\n        self.assertEqual(is_sq(8), False)\n    def test_10(self):\n        self.assertEqual(is_sq(9), True)\n    def test_11(self):\n        self.assertEqual(is_sq(10), False)\n    def test_12(self):\n        self.assertEqual(is_sq(11), False)\n    def test_13(self):\n        self.assertEqual(is_sq(12), False)\n    def test_14(self):\n        self.assertEqual(is_sq(13), False)\n    def test_15(self):\n        self.assertEqual(is_sq(14), False)\n    def test_16(self):\n        self.assertEqual(is_sq(15), False)\n    def test_17(self):\n        self.assertEqual(is_sq(16), True)\n    def test_18(self):\n        self.assertEqual(is_sq(17), False)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-is-sq-a8367c9627a4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 1.2, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 4.975}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_is_sq", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `is_sq`: Return True iff n is a perfect square (n>=0). Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def is_sq(n):\n if n<0:\n return False\n r=int(n**0.5)\n return r*r==n", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 19}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_14 (test_solution.Test.test_14) ... ok\ntest_15 (test_solution.Test.test_15) ... ok\ntest_16 (test_solution.Test.test_16) ... ok\ntest_17 (test_solution.Test.test_17) ... ok\ntest_18 (test_solution.Test.test_18) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 19 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 19, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 19}}
{"answer": "def is_sq(n):\n if n<0:\n return False\n r=int(n**0.5)\n return r*r==n", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 19, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_0 (test_solution.Test.test_0) ... FAIL\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_14 (test_solution.Test.test_14) ... ok\ntest_15 (test_solution.Test.test_15) ... ok\ntest_16 (test_solution.Test.test_16) ... ok\ntest_17 (test_solution.Test.test_17) ... ok\ntest_18 (test_solution.Test.test_18) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n======================================================================\nFAIL: test_0 (test_solution.Test.test_0)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9g1syvlh\\test_solution.py\", line 5, in test_0\n    self.assertEqual(is_sq(-1), False)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^\nAssertionError: True != False\n\n----------------------------------------------------------------------\nRan 19 tests in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def is_sq(n):\n    if n<0:\n        return True\n    r=int(n**0.5)\n    return r*r==n\n", "test_solution.py": "import unittest\nfrom solution import is_sq\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(is_sq(-1), False)\n    def test_1(self):\n        self.assertEqual(is_sq(0), True)\n    def test_2(self):\n        self.assertEqual(is_sq(1), True)\n    def test_3(self):\n        self.assertEqual(is_sq(2), False)\n    def test_4(self):\n        self.assertEqual(is_sq(3), False)\n    def test_5(self):\n        self.assertEqual(is_sq(4), True)\n    def test_6(self):\n        self.assertEqual(is_sq(5), False)\n    def test_7(self):\n        self.assertEqual(is_sq(6), False)\n    def test_8(self):\n        self.assertEqual(is_sq(7), False)\n    def test_9(self):\n        self.assertEqual(is_sq(8), False)\n    def test_10(self):\n        self.assertEqual(is_sq(9), True)\n    def test_11(self):\n        self.assertEqual(is_sq(10), False)\n    def test_12(self):\n        self.assertEqual(is_sq(11), False)\n    def test_13(self):\n        self.assertEqual(is_sq(12), False)\n    def test_14(self):\n        self.assertEqual(is_sq(13), False)\n    def test_15(self):\n        self.assertEqual(is_sq(14), False)\n    def test_16(self):\n        self.assertEqual(is_sq(15), False)\n    def test_17(self):\n        self.assertEqual(is_sq(16), True)\n    def test_18(self):\n        self.assertEqual(is_sq(17), False)\n"}}, "topic": "algorithms"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-micro-is-sq-c112a60ddd9b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 1.2, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.5}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 19}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... FAIL\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_14 (test_solution.Test.test_14) ... ok\ntest_15 (test_solution.Test.test_15) ... ok\ntest_16 (test_solution.Test.test_16) ... ok\ntest_17 (test_solution.Test.test_17) ... ok\ntest_18 (test_solution.Test.test_18) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n======================================================================\nFAIL: test_0 (test_solution.Test.test_0)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9g1syvlh\\test_solution.py\", line 5, in test_0\n    self.assertEqual(is_sq(-1), False)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^\nAssertionError: True != False\n\n----------------------------------------------------------------------\nRan 19 tests in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 19, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 18}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_is_sq", "tests_passed_after_fix": 19, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `is_sq`: Return True iff n is a perfect square (n>=0). Use only the Python standard library.\n\n--- solution.py (buggy) ---\ndef is_sq(n):\n if n<0:\n return True\n r=int(n**0.5)\n return r*r==n\n\n--- test_solution.py ---\nimport unittest\nfrom solution import is_sq\nclass Test(unittest.TestCase):\n def test_0(self):\n self.assertEqual(is_sq(-1), False)\n def test_1(self):\n self.assertEqual(is_sq(0), True)\n def test_2(self):\n self.assertEqual(is_sq(1), True)\n def test_3(self):\n self.assertEqual(is_sq(2), False)\n def test_4(self):\n self.assertEqual(is_sq(3), False)\n def test_5(self):\n self.assertEqual(is_sq(4), True)\n def test_6(self):\n self.assertEqual(is_sq(5), False)\n def test_7(self):\n self.assertEqual(is_sq(6), False)\n def test_8(self):\n self.assertEqual(is_sq(7), False)\n def test_9(self):\n self.assertEqual(is_sq(8), False)\n def test_10(self):\n self.assertEqual(is_sq(9), True)\n def test_11(self):\n self.assertEqual(is_sq(10), False)\n def test_12(self):\n self.assertEqual(is_sq(11), False)\n def test_13(self):\n self.assertEqual(is_sq(12), False)\n def test_14(self):\n self.assertEqual(is_sq(13), False)\n def test_15(self):\n self.assertEqual(is_sq(14), False)\n def test_16(self):\n self.assertEqual(is_sq(15), False)\n def test_17(self):\n self.assertEqual(is_sq(16), True)\n def test_18(self):\n self.assertEqual(is_sq(17), False)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 19, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_0 (test_solution.Test.test_0) ... FAIL\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_14 (test_solution.Test.test_14) ... ok\ntest_15 (test_solution.Test.test_15) ... ok\ntest_16 (test_solution.Test.test_16) ... ok\ntest_17 (test_solution.Test.test_17) ... ok\ntest_18 (test_solution.Test.test_18) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n======================================================================\nFAIL: test_0 (test_solution.Test.test_0)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9g1syvlh\\test_solution.py\", line 5, in test_0\n self.assertEqual(is_sq(-1), False)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^\nAssertionError: True != False\n\n----------------------------------------------------------------------\nRan 19 tests in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def is_sq(n):\n if n<0:\n return False\n r=int(n**0.5)\n return r*r==n", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 19}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_14 (test_solution.Test.test_14) ... ok\ntest_15 (test_solution.Test.test_15) ... ok\ntest_16 (test_solution.Test.test_16) ... ok\ntest_17 (test_solution.Test.test_17) ... ok\ntest_18 (test_solution.Test.test_18) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 19 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 19, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 19}}
{"answer": "def next_even(n):\n return n if n%2==0 else n+1", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def next_even(n):\n    return n if n%2==0 else n+1\n", "test_solution.py": "import unittest\nfrom solution import next_even\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(next_even(-3), -2)\n    def test_1(self):\n        self.assertEqual(next_even(-2), -2)\n    def test_2(self):\n        self.assertEqual(next_even(-1), 0)\n    def test_3(self):\n        self.assertEqual(next_even(0), 0)\n    def test_4(self):\n        self.assertEqual(next_even(1), 2)\n    def test_5(self):\n        self.assertEqual(next_even(2), 2)\n    def test_6(self):\n        self.assertEqual(next_even(3), 4)\n    def test_7(self):\n        self.assertEqual(next_even(4), 4)\n    def test_8(self):\n        self.assertEqual(next_even(5), 6)\n    def test_9(self):\n        self.assertEqual(next_even(6), 6)\n    def test_10(self):\n        self.assertEqual(next_even(7), 8)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-next-even-20a6a715b190", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.725, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.9000000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_next_even", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `next_even`: Smallest even integer >= n. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def next_even(n):\n return n if n%2==0 else n+1", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 11}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 11 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 11, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 11}}
{"answer": "def collatz_step(n):\n return n//2 if n%2==0 else 3*n+1", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def collatz_step(n):\n    return n//2 if n%2==0 else 3*n+1\n", "test_solution.py": "import unittest\nfrom solution import collatz_step\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(collatz_step(1), 4)\n    def test_1(self):\n        self.assertEqual(collatz_step(2), 1)\n    def test_2(self):\n        self.assertEqual(collatz_step(3), 10)\n    def test_3(self):\n        self.assertEqual(collatz_step(4), 2)\n    def test_4(self):\n        self.assertEqual(collatz_step(5), 16)\n    def test_5(self):\n        self.assertEqual(collatz_step(6), 3)\n    def test_6(self):\n        self.assertEqual(collatz_step(7), 22)\n    def test_7(self):\n        self.assertEqual(collatz_step(8), 4)\n    def test_8(self):\n        self.assertEqual(collatz_step(9), 28)\n    def test_9(self):\n        self.assertEqual(collatz_step(10), 5)\n    def test_10(self):\n        self.assertEqual(collatz_step(11), 34)\n    def test_11(self):\n        self.assertEqual(collatz_step(12), 6)\n    def test_12(self):\n        self.assertEqual(collatz_step(13), 40)\n    def test_13(self):\n        self.assertEqual(collatz_step(14), 7)\n    def test_14(self):\n        self.assertEqual(collatz_step(15), 46)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-collatz-step-8ab9e140b6af", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.925, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 5.25}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_collatz_step", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `collatz_step`: One Collatz step: n/2 if even else 3n+1, for positive n. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def collatz_step(n):\n return n//2 if n%2==0 else 3*n+1", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 15}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_14 (test_solution.Test.test_14) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 15 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 15, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 15}}
{"answer": "def popcount(n):\n return bin(abs(n)).count('1')", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def popcount(n):\n    return bin(abs(n)).count('1')\n", "test_solution.py": "import unittest\nfrom solution import popcount\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(popcount(-8), 1)\n    def test_1(self):\n        self.assertEqual(popcount(-7), 3)\n    def test_2(self):\n        self.assertEqual(popcount(-6), 2)\n    def test_3(self):\n        self.assertEqual(popcount(-5), 2)\n    def test_4(self):\n        self.assertEqual(popcount(-4), 1)\n    def test_5(self):\n        self.assertEqual(popcount(-3), 2)\n    def test_6(self):\n        self.assertEqual(popcount(-2), 1)\n    def test_7(self):\n        self.assertEqual(popcount(-1), 1)\n    def test_8(self):\n        self.assertEqual(popcount(0), 0)\n    def test_9(self):\n        self.assertEqual(popcount(1), 1)\n    def test_10(self):\n        self.assertEqual(popcount(2), 1)\n    def test_11(self):\n        self.assertEqual(popcount(3), 2)\n    def test_12(self):\n        self.assertEqual(popcount(4), 1)\n    def test_13(self):\n        self.assertEqual(popcount(5), 2)\n    def test_14(self):\n        self.assertEqual(popcount(6), 2)\n    def test_15(self):\n        self.assertEqual(popcount(7), 3)\n    def test_16(self):\n        self.assertEqual(popcount(8), 1)\n    def test_17(self):\n        self.assertEqual(popcount(9), 2)\n    def test_18(self):\n        self.assertEqual(popcount(10), 2)\n    def test_19(self):\n        self.assertEqual(popcount(11), 3)\n    def test_20(self):\n        self.assertEqual(popcount(12), 2)\n    def test_21(self):\n        self.assertEqual(popcount(13), 3)\n    def test_22(self):\n        self.assertEqual(popcount(14), 3)\n    def test_23(self):\n        self.assertEqual(popcount(15), 4)\n    def test_24(self):\n        self.assertEqual(popcount(16), 1)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-popcount-ff83f628f559", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 1.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 4.575}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_popcount", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `popcount`: Number of 1-bits in the absolute value of n. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def popcount(n):\n return bin(abs(n)).count('1')", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 25}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_14 (test_solution.Test.test_14) ... ok\ntest_15 (test_solution.Test.test_15) ... ok\ntest_16 (test_solution.Test.test_16) ... ok\ntest_17 (test_solution.Test.test_17) ... ok\ntest_18 (test_solution.Test.test_18) ... ok\ntest_19 (test_solution.Test.test_19) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_20 (test_solution.Test.test_20) ... ok\ntest_21 (test_solution.Test.test_21) ... ok\ntest_22 (test_solution.Test.test_22) ... ok\ntest_23 (test_solution.Test.test_23) ... ok\ntest_24 (test_solution.Test.test_24) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 25 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 25, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 25}}
{"answer": "def rev_digits(n):\n s=int(str(abs(n))[::-1])\n return -s if n<0 else s", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def rev_digits(n):\n    s=int(str(abs(n))[::-1])\n    return -s if n<0 else s\n", "test_solution.py": "import unittest\nfrom solution import rev_digits\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(rev_digits(-120), -21)\n    def test_1(self):\n        self.assertEqual(rev_digits(-10), -1)\n    def test_2(self):\n        self.assertEqual(rev_digits(0), 0)\n    def test_3(self):\n        self.assertEqual(rev_digits(7), 7)\n    def test_4(self):\n        self.assertEqual(rev_digits(100), 1)\n    def test_5(self):\n        self.assertEqual(rev_digits(1234), 4321)\n    def test_6(self):\n        self.assertEqual(rev_digits(900), 9)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-rev-digits-039714a11dae", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 4.1000000000000005}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_rev_digits", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `rev_digits`: Integer obtained by reversing decimal digits of |n|, keeping sign. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def rev_digits(n):\n s=int(str(abs(n))[::-1])\n return -s if n<0 else s", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 7}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\n\n----------------------------------------------------------------------\nRan 7 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 7, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 7}}
{"answer": "def sum_digits(n):\n return sum(int(c) for c in str(abs(n)))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def sum_digits(n):\n    return sum(int(c) for c in str(abs(n)))\n", "test_solution.py": "import unittest\nfrom solution import sum_digits\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(sum_digits(0), 0)\n    def test_1(self):\n        self.assertEqual(sum_digits(10), 1)\n    def test_2(self):\n        self.assertEqual(sum_digits(99), 18)\n    def test_3(self):\n        self.assertEqual(sum_digits(123), 6)\n    def test_4(self):\n        self.assertEqual(sum_digits(1001), 2)\n    def test_5(self):\n        self.assertEqual(sum_digits(-58), 13)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-sum-digits-844fe7dd7d4b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.4250000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_sum_digits", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `sum_digits`: Sum of decimal digits of |n|. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def sum_digits(n):\n return sum(int(c) for c in str(abs(n)))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 6}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\n\n----------------------------------------------------------------------\nRan 6 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 6, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 6}}
{"answer": "def mid3(a,b,c):\n return sorted([a,b,c])[1]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def mid3(a,b,c):\n    return sorted([a,b,c])[1]\n", "test_solution.py": "import unittest\nfrom solution import mid3\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(mid3(1, 2, 3), 2)\n    def test_1(self):\n        self.assertEqual(mid3(9, 1, 5), 5)\n    def test_2(self):\n        self.assertEqual(mid3(0, 0, 1), 0)\n    def test_3(self):\n        self.assertEqual(mid3(-4, -1, -3), -3)\n    def test_4(self):\n        self.assertEqual(mid3(8, 8, 2), 8)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-mid3-64a78f8aad58", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.35}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_mid3", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `mid3`: Median of three integers a,b,c. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def mid3(a,b,c):\n return sorted([a,b,c])[1]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n----------------------------------------------------------------------\nRan 5 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 5}}
{"answer": "import math\ndef gcd3(a,b,c):\n return math.gcd(math.gcd(a,b),c)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import math\ndef gcd3(a,b,c):\n    return math.gcd(math.gcd(a,b),c)\n", "test_solution.py": "import unittest\nfrom solution import gcd3\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(gcd3(12, 18, 30), 6)\n    def test_1(self):\n        self.assertEqual(gcd3(7, 9, 11), 1)\n    def test_2(self):\n        self.assertEqual(gcd3(0, 5, 10), 5)\n    def test_3(self):\n        self.assertEqual(gcd3(21, 14, 7), 7)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-gcd3-612aab1c5039", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 3.3}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_gcd3", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `gcd3`: gcd of three integers. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import math\ndef gcd3(a,b,c):\n return math.gcd(math.gcd(a,b),c)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def powmod(a,b,m):\n return pow(a,b,m)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def powmod(a,b,m):\n    return pow(a,b,m)\n", "test_solution.py": "import unittest\nfrom solution import powmod\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(powmod(2, 10, 1000), 24)\n    def test_1(self):\n        self.assertEqual(powmod(3, 5, 7), 5)\n    def test_2(self):\n        self.assertEqual(powmod(5, 0, 9), 1)\n    def test_3(self):\n        self.assertEqual(powmod(7, 3, 5), 3)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-powmod-4af1cf8e1eaf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.3000000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_powmod", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `powmod`: Compute pow(a,b,m) for m>0, b>=0. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def powmod(a,b,m):\n return pow(a,b,m)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def ceil_div(a,b):\n return -(-a//b)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def ceil_div(a,b):\n    return -(-a//b)\n", "test_solution.py": "import unittest\nfrom solution import ceil_div\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(ceil_div(10, 3), 4)\n    def test_1(self):\n        self.assertEqual(ceil_div(9, 3), 3)\n    def test_2(self):\n        self.assertEqual(ceil_div(1, 5), 1)\n    def test_3(self):\n        self.assertEqual(ceil_div(-7, 3), -2)\n    def test_4(self):\n        self.assertEqual(ceil_div(0, 4), 0)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-ceil-div-67918f67e89c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 4.5}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_ceil_div", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `ceil_div`: Ceiling of a/b for positive b. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def ceil_div(a,b):\n return -(-a//b)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n----------------------------------------------------------------------\nRan 5 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 5}}
{"answer": "def bit_rev8(n):\n x=n & 255\n y=0\n for _ in range(8):\n y=(y<<1)|(x&1)\n x>>=1\n return y", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def bit_rev8(n):\n    x=n & 255\n    y=0\n    for _ in range(8):\n        y=(y<<1)|(x&1)\n        x>>=1\n    return y\n", "test_solution.py": "import unittest\nfrom solution import bit_rev8\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(bit_rev8(0), 0)\n    def test_1(self):\n        self.assertEqual(bit_rev8(1), 128)\n    def test_2(self):\n        self.assertEqual(bit_rev8(2), 64)\n    def test_3(self):\n        self.assertEqual(bit_rev8(16), 8)\n    def test_4(self):\n        self.assertEqual(bit_rev8(128), 1)\n    def test_5(self):\n        self.assertEqual(bit_rev8(170), 85)\n    def test_6(self):\n        self.assertEqual(bit_rev8(255), 255)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-bit-rev8-189524cf3190", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.65, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 3.7}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_bit_rev8", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `bit_rev8`: Reverse the low 8 bits of n (ignore higher bits). Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def bit_rev8(n):\n x=n & 255\n y=0\n for _ in range(8):\n y=(y<<1)|(x&1)\n x>>=1\n return y", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 7}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\n\n----------------------------------------------------------------------\nRan 7 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 7, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 7}}
{"answer": "def sgn(n):\n return (n>0)-(n<0)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def sgn(n):\n    return (n>0)-(n<0)\n", "test_solution.py": "import unittest\nfrom solution import sgn\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(sgn(-3), -1)\n    def test_1(self):\n        self.assertEqual(sgn(-2), -1)\n    def test_2(self):\n        self.assertEqual(sgn(-1), -1)\n    def test_3(self):\n        self.assertEqual(sgn(0), 0)\n    def test_4(self):\n        self.assertEqual(sgn(1), 1)\n    def test_5(self):\n        self.assertEqual(sgn(2), 1)\n    def test_6(self):\n        self.assertEqual(sgn(3), 1)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-sgn-6d4a8e19d5e2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 3.95}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_sgn", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `sgn`: Return -1, 0, or 1 as the sign of n. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def sgn(n):\n return (n>0)-(n<0)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 7}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\n\n----------------------------------------------------------------------\nRan 7 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 7, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 7}}
{"answer": "def vowels(s):\n return sum(ch.lower() in 'aeiou' for ch in s)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def vowels(s):\n    return sum(ch.lower() in 'aeiou' for ch in s)\n", "test_solution.py": "import unittest\nfrom solution import vowels\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(vowels(''), 0)\n    def test_1(self):\n        self.assertEqual(vowels('xyz'), 0)\n    def test_2(self):\n        self.assertEqual(vowels('AEIOU'), 5)\n    def test_3(self):\n        self.assertEqual(vowels('Open Reason'), 5)\n    def test_4(self):\n        self.assertEqual(vowels('queue'), 4)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-vowels-8f84c53f5d9d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.5}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_vowels", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `vowels`: Count vowels aeiou in s, case-insensitive. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def vowels(s):\n return sum(ch.lower() in 'aeiou' for ch in s)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n----------------------------------------------------------------------\nRan 5 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 5}}
{"answer": "import re\ndef snake(s):\n s=re.sub(r'([a-z])([A-Z])', r'\\1_\\2', s)\n s=re.sub(r'[^A-Za-z0-9]+', '_', s)\n return re.sub(r'_+', '_', s).strip('_').lower()", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\ndef snake(s):\n    s=re.sub(r'([a-z])([A-Z])', r'\\1_\\2', s)\n    s=re.sub(r'[^A-Za-z0-9]+', '_', s)\n    return re.sub(r'_+', '_', s).strip('_').lower()\n", "test_solution.py": "import unittest\nfrom solution import snake\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(snake('OpenReason'), 'open_reason')\n    def test_1(self):\n        self.assertEqual(snake('already_snake'), 'already_snake')\n    def test_2(self):\n        self.assertEqual(snake('Hello World'), 'hello_world')\n    def test_3(self):\n        self.assertEqual(snake('A'), 'a')\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-snake-497aac12f27b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 5.45}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_snake", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `snake`: Convert CamelCase or spaces to snake_case keeping alphanumerics. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:47Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\ndef snake(s):\n s=re.sub(r'([a-z])([A-Z])', r'\\1_\\2', s)\n s=re.sub(r'[^A-Za-z0-9]+', '_', s)\n return re.sub(r'_+', '_', s).strip('_').lower()", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def runlen(s):\n if not s:\n return []\n out=[]; last=s[0]; n=1\n for ch in s[1:]:\n if ch==last:\n n+=1\n else:\n out.append((last,n)); last=ch; n=1\n out.append((last,n))\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def runlen(s):\n    if not s:\n        return []\n    out=[]; last=s[0]; n=1\n    for ch in s[1:]:\n        if ch==last:\n            n+=1\n        else:\n            out.append((last,n)); last=ch; n=1\n    out.append((last,n))\n    return out\n", "test_solution.py": "import unittest\nfrom solution import runlen\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(runlen(''), [])\n    def test_1(self):\n        self.assertEqual(runlen('aaa'), [('a', 3)])\n    def test_2(self):\n        self.assertEqual(runlen('abba'), [('a', 1), ('b', 2), ('a', 1)])\n    def test_3(self):\n        self.assertEqual(runlen('aabbaa'), [('a', 2), ('b', 2), ('a', 2)])\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-runlen-7441c90c0d8f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 4.025}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_runlen", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `runlen`: Run-length encode a string as list of (char, count) pairs. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def runlen(s):\n if not s:\n return []\n out=[]; last=s[0]; n=1\n for ch in s[1:]:\n if ch==last:\n n+=1\n else:\n out.append((last,n)); last=ch; n=1\n out.append((last,n))\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def is_anagram(a,b):\n def n(x): return sorted(ch.lower() for ch in x if not ch.isspace())\n return n(a)==n(b)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def is_anagram(a,b):\n    def n(x): return sorted(ch.lower() for ch in x if not ch.isspace())\n    return n(a)==n(b)\n", "test_solution.py": "import unittest\nfrom solution import is_anagram\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(is_anagram('listen', 'silent'), True)\n    def test_1(self):\n        self.assertEqual(is_anagram('a', 'b'), False)\n    def test_2(self):\n        self.assertEqual(is_anagram('Dormitory', 'dirty room'), True)\n    def test_3(self):\n        self.assertEqual(is_anagram('', ''), True)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-is-anagram-4c6ccdee2702", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 3.475}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_is_anagram", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `is_anagram`: True iff a and b are anagrams ignoring spaces and case. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def is_anagram(a,b):\n def n(x): return sorted(ch.lower() for ch in x if not ch.isspace())\n return n(a)==n(b)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def titlecase_min(s):\n parts=s.split(' ')\n out=[]\n for i,w in enumerate(parts):\n if not w:\n out.append(w); continue\n if i>0 and len(w)<=2:\n out.append(w.lower())\n else:\n out.append(w[:1].upper()+w[1:].lower())\n return ' '.join(out)", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def titlecase_min(s):\n    parts=s.split(' ')\n    out=[]\n    for i,w in enumerate(parts):\n        if not w:\n            out.append(w); continue\n        if i>0 and len(w)<=2:\n            out.append(w.lower())\n        else:\n            out.append(w[:1].upper()+w[1:].lower())\n    return ' '.join(out)\n", "test_solution.py": "import unittest\nfrom solution import titlecase_min\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(titlecase_min('open reason dataset'), 'Open Reason Dataset')\n    def test_1(self):\n        self.assertEqual(titlecase_min('a b cde'), 'A b Cde')\n    def test_2(self):\n        self.assertEqual(titlecase_min('SQL'), 'Sql')\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-titlecase-min-f3b5aec7d594", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 4.125}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_titlecase_min", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `titlecase_min`: Title-case words, leaving words of length 1-2 lower except the first. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def titlecase_min(s):\n parts=s.split(' ')\n out=[]\n for i,w in enumerate(parts):\n if not w:\n out.append(w); continue\n if i>0 and len(w)<=2:\n out.append(w.lower())\n else:\n out.append(w[:1].upper()+w[1:].lower())\n return ' '.join(out)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def strip_html(s):\n out=[]; i=0\n while i<len(s):\n if s[i]=='<':\n j=s.find('>', i)\n if j==-1:\n break\n i=j+1\n else:\n out.append(s[i]); i+=1\n return ''.join(out)", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def strip_html(s):\n    out=[]; i=0\n    while i<len(s):\n        if s[i]=='<':\n            j=s.find('>', i)\n            if j==-1:\n                break\n            i=j+1\n        else:\n            out.append(s[i]); i+=1\n    return ''.join(out)\n", "test_solution.py": "import unittest\nfrom solution import strip_html\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(strip_html('<b>x</b>'), 'x')\n    def test_1(self):\n        self.assertEqual(strip_html('plain'), 'plain')\n    def test_2(self):\n        self.assertEqual(strip_html(\"<a href='t'>z</a>y\"), 'zy')\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-strip-html-5c0600ed5fb1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.3}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_strip_html", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `strip_html`: Remove <...> tags; do not parse attributes specially. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def strip_html(s):\n out=[]; i=0\n while i<len(s):\n if s[i]=='<':\n j=s.find('>', i)\n if j==-1:\n break\n i=j+1\n else:\n out.append(s[i]); i+=1\n return ''.join(out)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def csv_escape(s):\n if any(ch in s for ch in ',\\n\"'):\n return '\"'+s.replace('\"','\"\"')+'\"'\n return s", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def csv_escape(s):\n    if any(ch in s for ch in ',\\n\"'):\n        return '\"'+s.replace('\"','\"\"')+'\"'\n    return s\n", "test_solution.py": "import unittest\nfrom solution import csv_escape\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(csv_escape('plain'), 'plain')\n    def test_1(self):\n        self.assertEqual(csv_escape('a,b'), '\"a,b\"')\n    def test_2(self):\n        self.assertEqual(csv_escape('say \"hi\"'), '\"say \"\"hi\"\"\"')\n    def test_3(self):\n        self.assertEqual(csv_escape('ok'), 'ok')\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-csv-escape-a5bdff54c3bf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 4.15}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_csv_escape", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `csv_escape`: Escape a field for CSV: wrap in quotes if it contains comma, quote, or newline; double quotes. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def csv_escape(s):\n if any(ch in s for ch in ',\\n\"'):\n return '\"'+s.replace('\"','\"\"')+'\"'\n return s", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def prefix_fun(xs):\n if not xs:\n return ''\n p=xs[0]\n for s in xs[1:]:\n i=0\n while i<len(p) and i<len(s) and p[i]==s[i]:\n i+=1\n p=p[:i]\n if not p:\n return ''\n return p", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def prefix_fun(xs):\n    if not xs:\n        return ''\n    p=xs[0]\n    for s in xs[1:]:\n        i=0\n        while i<len(p) and i<len(s) and p[i]==s[i]:\n            i+=1\n        p=p[:i]\n        if not p:\n            return ''\n    return p\n", "test_solution.py": "import unittest\nfrom solution import prefix_fun\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(prefix_fun(['flower', 'flow', 'flight']), 'fl')\n    def test_1(self):\n        self.assertEqual(prefix_fun(['a', 'b']), '')\n    def test_2(self):\n        self.assertEqual(prefix_fun([]), '')\n    def test_3(self):\n        self.assertEqual(prefix_fun(['same', 'same']), 'same')\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-prefix-fun-584f3471efc1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 3.975}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_prefix_fun", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `prefix_fun`: Longest common prefix of a list of strings; '' if empty list. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def prefix_fun(xs):\n if not xs:\n return ''\n p=xs[0]\n for s in xs[1:]:\n i=0\n while i<len(p) and i<len(s) and p[i]==s[i]:\n i+=1\n p=p[:i]\n if not p:\n return ''\n return p", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def wrap_at(s,w):\n words=s.split()\n lines=[]; cur=''\n for word in words:\n if not cur:\n cur=word\n elif len(cur)+1+len(word)<=w:\n cur+=' '+word\n else:\n lines.append(cur); cur=word\n if cur:\n lines.append(cur)\n return lines", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def wrap_at(s,w):\n    words=s.split()\n    lines=[]; cur=''\n    for word in words:\n        if not cur:\n            cur=word\n        elif len(cur)+1+len(word)<=w:\n            cur+=' '+word\n        else:\n            lines.append(cur); cur=word\n    if cur:\n        lines.append(cur)\n    return lines\n", "test_solution.py": "import unittest\nfrom solution import wrap_at\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(wrap_at('one two three', 5), ['one', 'two', 'three'])\n    def test_1(self):\n        self.assertEqual(wrap_at('abcdefgh', 3), ['abcdefgh'])\n    def test_2(self):\n        self.assertEqual(wrap_at('a b c', 10), ['a b c'])\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-wrap-at-57bf7a6c83b5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 4.95}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_wrap_at", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `wrap_at`: Word-wrap s at width w without breaking words; words longer than w stay on their own line. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def wrap_at(s,w):\n words=s.split()\n lines=[]; cur=''\n for word in words:\n if not cur:\n cur=word\n elif len(cur)+1+len(word)<=w:\n cur+=' '+word\n else:\n lines.append(cur); cur=word\n if cur:\n lines.append(cur)\n return lines", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "import re\ndef kebab(s):\n s=re.sub(r'[^A-Za-z0-9]+','-',s)\n return s.strip('-').lower()", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\ndef kebab(s):\n    s=re.sub(r'[^A-Za-z0-9]+','-',s)\n    return s.strip('-').lower()\n", "test_solution.py": "import unittest\nfrom solution import kebab\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(kebab('Open Reason'), 'open-reason')\n    def test_1(self):\n        self.assertEqual(kebab('already-kebab'), 'already-kebab')\n    def test_2(self):\n        self.assertEqual(kebab('X'), 'x')\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-kebab-be55c2bbcda4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 5.175000000000001}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_kebab", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `kebab`: Lowercase kebab-case from a phrase. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\ndef kebab(s):\n s=re.sub(r'[^A-Za-z0-9]+','-',s)\n return s.strip('-').lower()", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def moving_avg(xs,k):\n if k<1:\n raise ValueError('k')\n return [sum(xs[i:i+k])/k for i in range(0, len(xs)-k+1)]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def moving_avg(xs,k):\n    if k<1:\n        raise ValueError('k')\n    return [sum(xs[i:i+k])/k for i in range(0, len(xs)-k+1)]\n", "test_solution.py": "import unittest\nfrom solution import moving_avg\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(moving_avg([1, 2, 3, 4], 2), [1.5, 2.5, 3.5])\n    def test_1(self):\n        self.assertEqual(moving_avg([5], 1), [5.0])\n    def test_2(self):\n        self.assertEqual(moving_avg([2, 2, 2, 2], 3), [2.0, 2.0])\n"}}, "topic": "data_structures"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-moving-avg-8dbbb0841d42", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 4.5}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_moving_avg", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `moving_avg`: Simple moving average of window k; skip if k<1. Return list of floats. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def moving_avg(xs,k):\n if k<1:\n raise ValueError('k')\n return [sum(xs[i:i+k])/k for i in range(0, len(xs)-k+1)]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def dedupe_keep(xs):\n seen=set(); out=[]\n for x in xs:\n if x in seen:\n continue\n seen.add(x); out.append(x)\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def dedupe_keep(xs):\n    seen=set(); out=[]\n    for x in xs:\n        if x in seen:\n            continue\n        seen.add(x); out.append(x)\n    return out\n", "test_solution.py": "import unittest\nfrom solution import dedupe_keep\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(dedupe_keep([1, 1, 2, 1, 3]), [1, 2, 3])\n    def test_1(self):\n        self.assertEqual(dedupe_keep([]), [])\n    def test_2(self):\n        self.assertEqual(dedupe_keep(['a', 'b', 'a']), ['a', 'b'])\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-dedupe-keep-7f88f8ffae72", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.4000000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_dedupe_keep", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `dedupe_keep`: Dedupe a list keeping first occurrence. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def dedupe_keep(xs):\n seen=set(); out=[]\n for x in xs:\n if x in seen:\n continue\n seen.add(x); out.append(x)\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def chunk2(xs):\n return [(xs[i],xs[i+1]) for i in range(0,len(xs)-1,2)]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def chunk2(xs):\n    return [(xs[i],xs[i+1]) for i in range(0,len(xs)-1,2)]\n", "test_solution.py": "import unittest\nfrom solution import chunk2\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(chunk2([1, 2, 3, 4]), [(1, 2), (3, 4)])\n    def test_1(self):\n        self.assertEqual(chunk2([1]), [])\n    def test_2(self):\n        self.assertEqual(chunk2([1, 2, 3]), [(1, 2)])\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-chunk2-527768418ca2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 3.825}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_chunk2", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `chunk2`: Pairs of consecutive items; drop a trailing leftover. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def chunk2(xs):\n return [(xs[i],xs[i+1]) for i in range(0,len(xs)-1,2)]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def argmin(xs):\n if not xs:\n return -1\n m=min(xs)\n return xs.index(m)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def argmin(xs):\n    if not xs:\n        return -1\n    m=min(xs)\n    return xs.index(m)\n", "test_solution.py": "import unittest\nfrom solution import argmin\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(argmin([3, 1, 1]), 1)\n    def test_1(self):\n        self.assertEqual(argmin([]), -1)\n    def test_2(self):\n        self.assertEqual(argmin([5]), 0)\n    def test_3(self):\n        self.assertEqual(argmin([-2, 0, -2]), 0)\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-argmin-38140fa56385", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 3.85}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_argmin", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `argmin`: Index of the first minimum, or -1 if empty. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def argmin(xs):\n if not xs:\n return -1\n m=min(xs)\n return xs.index(m)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def prefix_sums(xs):\n out=[]; t=0\n for x in xs:\n t+=x; out.append(t)\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def prefix_sums(xs):\n    out=[]; t=0\n    for x in xs:\n        t+=x; out.append(t)\n    return out\n", "test_solution.py": "import unittest\nfrom solution import prefix_sums\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(prefix_sums([1, 2, 3]), [1, 3, 6])\n    def test_1(self):\n        self.assertEqual(prefix_sums([]), [])\n    def test_2(self):\n        self.assertEqual(prefix_sums([-1, 1]), [-1, 0])\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-prefix-sums-2d43b8899c2b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 3.525}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_prefix_sums", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `prefix_sums`: Inclusive prefix sums. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def prefix_sums(xs):\n out=[]; t=0\n for x in xs:\n t+=x; out.append(t)\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def rotate_left(xs,k):\n if not xs:\n return []\n k%=len(xs)\n return xs[k:]+xs[:k]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def rotate_left(xs,k):\n    if not xs:\n        return []\n    k%=len(xs)\n    return xs[k:]+xs[:k]\n", "test_solution.py": "import unittest\nfrom solution import rotate_left\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(rotate_left([1, 2, 3, 4], 1), [2, 3, 4, 1])\n    def test_1(self):\n        self.assertEqual(rotate_left([1, 2], 0), [1, 2])\n    def test_2(self):\n        self.assertEqual(rotate_left([7], 3), [7])\n    def test_3(self):\n        self.assertEqual(rotate_left([1, 2, 3], 5), [3, 1, 2])\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-rotate-left-ffc4f1b18f42", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 3.7500000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_rotate_left", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `rotate_left`: Rotate list xs left by k (k may exceed len). Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def rotate_left(xs,k):\n if not xs:\n return []\n k%=len(xs)\n return xs[k:]+xs[:k]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def matrix_trace(m):\n n=len(m)\n if any(len(row)!=n for row in m):\n raise ValueError('shape')\n return sum(m[i][i] for i in range(n))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def matrix_trace(m):\n    n=len(m)\n    if any(len(row)!=n for row in m):\n        raise ValueError('shape')\n    return sum(m[i][i] for i in range(n))\n", "test_solution.py": "import unittest\nfrom solution import matrix_trace\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(matrix_trace([[1, 2], [3, 4]]), 5)\n    def test_1(self):\n        self.assertEqual(matrix_trace([[5]]), 5)\n    def test_2(self):\n        self.assertEqual(matrix_trace([[0, 1, 2], [3, 4, 5], [6, 7, 8]]), 12)\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-matrix-trace-9a10cd642634", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 4.075}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_matrix_trace", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `matrix_trace`: Trace of a square list-of-lists; raise ValueError if not square. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def matrix_trace(m):\n n=len(m)\n if any(len(row)!=n for row in m):\n raise ValueError('shape')\n return sum(m[i][i] for i in range(n))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def flatten1(xs):\n out=[]\n for x in xs:\n if isinstance(x,list):\n out.extend(x)\n else:\n out.append(x)\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def flatten1(xs):\n    out=[]\n    for x in xs:\n        if isinstance(x,list):\n            out.extend(x)\n        else:\n            out.append(x)\n    return out\n", "test_solution.py": "import unittest\nfrom solution import flatten1\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(flatten1([1, [2, 3], 4]), [1, 2, 3, 4])\n    def test_1(self):\n        self.assertEqual(flatten1([]), [])\n    def test_2(self):\n        self.assertEqual(flatten1([[], 1]), [1])\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-flatten1-efc7ec425c49", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.4000000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_flatten1", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `flatten1`: Flatten one level of lists. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:48Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def flatten1(xs):\n out=[]\n for x in xs:\n if isinstance(x,list):\n out.extend(x)\n else:\n out.append(x)\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def count_ranges(xs,lo,hi):\n return sum(lo<=x<=hi for x in xs)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def count_ranges(xs,lo,hi):\n    return sum(lo<=x<=hi for x in xs)\n", "test_solution.py": "import unittest\nfrom solution import count_ranges\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(count_ranges([1, 2, 3, 10], 2, 9), 2)\n    def test_1(self):\n        self.assertEqual(count_ranges([], 0, 1), 0)\n    def test_2(self):\n        self.assertEqual(count_ranges([-5, 0, 5], 0, 5), 2)\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-count-ranges-3f976b03d520", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 3.4000000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_count_ranges", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `count_ranges`: Count how many numbers in xs lie in [lo, hi] inclusive. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def count_ranges(xs,lo,hi):\n return sum(lo<=x<=hi for x in xs)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def is_sorted(xs):\n return all(xs[i]<=xs[i+1] for i in range(len(xs)-1))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def is_sorted(xs):\n    return all(xs[i]<=xs[i+1] for i in range(len(xs)-1))\n", "test_solution.py": "import unittest\nfrom solution import is_sorted\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(is_sorted([1, 2, 2, 3]), True)\n    def test_1(self):\n        self.assertEqual(is_sorted([3, 1]), False)\n    def test_2(self):\n        self.assertEqual(is_sorted([]), True)\n    def test_3(self):\n        self.assertEqual(is_sorted([1]), True)\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-is-sorted-ad3a9050dba1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 3.85}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_is_sorted", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `is_sorted`: Non-decreasing check. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def is_sorted(xs):\n return all(xs[i]<=xs[i+1] for i in range(len(xs)-1))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def fib(n):\n a,b=0,1\n for _ in range(n):\n a,b=b,a+b\n return a", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def fib(n):\n    a,b=0,1\n    for _ in range(n):\n        a,b=b,a+b\n    return a\n", "test_solution.py": "import unittest\nfrom solution import fib\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(fib(0), 0)\n    def test_1(self):\n        self.assertEqual(fib(1), 1)\n    def test_2(self):\n        self.assertEqual(fib(2), 1)\n    def test_3(self):\n        self.assertEqual(fib(3), 2)\n    def test_4(self):\n        self.assertEqual(fib(4), 3)\n    def test_5(self):\n        self.assertEqual(fib(5), 5)\n    def test_6(self):\n        self.assertEqual(fib(6), 8)\n    def test_7(self):\n        self.assertEqual(fib(7), 13)\n    def test_8(self):\n        self.assertEqual(fib(8), 21)\n    def test_9(self):\n        self.assertEqual(fib(9), 34)\n    def test_10(self):\n        self.assertEqual(fib(10), 55)\n    def test_11(self):\n        self.assertEqual(fib(11), 89)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-fib-9ad76b773076", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.85, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 4.025}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_fib", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `fib`: nth Fibonacci with F(0)=0, F(1)=1. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def fib(n):\n a,b=0,1\n for _ in range(n):\n a,b=b,a+b\n return a", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 12}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 12 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 12, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 12}}
{"answer": "def fact(n):\n r=1\n for i in range(2,n+1):\n r*=i\n return r", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def fact(n):\n    r=1\n    for i in range(2,n+1):\n        r*=i\n    return r\n", "test_solution.py": "import unittest\nfrom solution import fact\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(fact(0), 1)\n    def test_1(self):\n        self.assertEqual(fact(1), 1)\n    def test_2(self):\n        self.assertEqual(fact(2), 2)\n    def test_3(self):\n        self.assertEqual(fact(3), 6)\n    def test_4(self):\n        self.assertEqual(fact(4), 24)\n    def test_5(self):\n        self.assertEqual(fact(5), 120)\n    def test_6(self):\n        self.assertEqual(fact(6), 720)\n    def test_7(self):\n        self.assertEqual(fact(7), 5040)\n    def test_8(self):\n        self.assertEqual(fact(8), 40320)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-fact-d07b10a70df0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 4.075}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_fact", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `fact`: n! for n>=0. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def fact(n):\n r=1\n for i in range(2,n+1):\n r*=i\n return r", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 9}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\n\n----------------------------------------------------------------------\nRan 9 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 9, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 9}}
{"answer": "def is_prime(n):\n if n<2: return False\n d=2\n while d*d<=n:\n if n%d==0: return False\n d+=1\n return True", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def is_prime(n):\n    if n<2: return False\n    d=2\n    while d*d<=n:\n        if n%d==0: return False\n        d+=1\n    return True\n", "test_solution.py": "import unittest\nfrom solution import is_prime\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(is_prime(0), False)\n    def test_1(self):\n        self.assertEqual(is_prime(1), False)\n    def test_2(self):\n        self.assertEqual(is_prime(2), True)\n    def test_3(self):\n        self.assertEqual(is_prime(3), True)\n    def test_4(self):\n        self.assertEqual(is_prime(4), False)\n    def test_5(self):\n        self.assertEqual(is_prime(5), True)\n    def test_6(self):\n        self.assertEqual(is_prime(6), False)\n    def test_7(self):\n        self.assertEqual(is_prime(7), True)\n    def test_8(self):\n        self.assertEqual(is_prime(8), False)\n    def test_9(self):\n        self.assertEqual(is_prime(9), False)\n    def test_10(self):\n        self.assertEqual(is_prime(10), False)\n    def test_11(self):\n        self.assertEqual(is_prime(11), True)\n    def test_12(self):\n        self.assertEqual(is_prime(12), False)\n    def test_13(self):\n        self.assertEqual(is_prime(13), True)\n    def test_14(self):\n        self.assertEqual(is_prime(14), False)\n    def test_15(self):\n        self.assertEqual(is_prime(15), False)\n    def test_16(self):\n        self.assertEqual(is_prime(16), False)\n    def test_17(self):\n        self.assertEqual(is_prime(17), True)\n    def test_18(self):\n        self.assertEqual(is_prime(18), False)\n    def test_19(self):\n        self.assertEqual(is_prime(19), True)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-is-prime-bdf982c6369c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 1.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 4.7250000000000005}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_is_prime", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `is_prime`: True iff n is prime. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def is_prime(n):\n if n<2: return False\n d=2\n while d*d<=n:\n if n%d==0: return False\n d+=1\n return True", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 20}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_14 (test_solution.Test.test_14) ... ok\ntest_15 (test_solution.Test.test_15) ... ok\ntest_16 (test_solution.Test.test_16) ... ok\ntest_17 (test_solution.Test.test_17) ... ok\ntest_18 (test_solution.Test.test_18) ... ok\ntest_19 (test_solution.Test.test_19) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 20 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 20, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 20}}
{"answer": "def is_prime(n):\n if n<2: return False\n d=2\n while d*d<=n:\n if n%d==0: return False\n d+=1\n return True", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "est_19) ... FAIL\ntest_2 (test_solution.Test.test_2) ... FAIL\ntest_3 (test_solution.Test.test_3) ... FAIL\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... FAIL\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... FAIL\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n======================================================================\nFAIL: test_11 (test_solution.Test.test_11)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 27, in test_11\n    self.assertEqual(is_prime(11), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_13 (test_solution.Test.test_13)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 31, in test_13\n    self.assertEqual(is_prime(13), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_17 (test_solution.Test.test_17)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 39, in test_17\n    self.assertEqual(is_prime(17), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_19 (test_solution.Test.test_19)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 43, in test_19\n    self.assertEqual(is_prime(19), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_2 (test_solution.Test.test_2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 9, in test_2\n    self.assertEqual(is_prime(2), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_3 (test_solution.Test.test_3)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 11, in test_3\n    self.assertEqual(is_prime(3), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_5 (test_solution.Test.test_5)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 15, in test_5\n    self.assertEqual(is_prime(5), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_7 (test_solution.Test.test_7)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 19, in test_7\n    self.assertEqual(is_prime(7), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n----------------------------------------------------------------------\nRan 20 tests in 0.001s\n\nFAILED (failures=8)\n"}, "language": "python", "repository": {"files": {"solution.py": "def is_prime(n):\n    if n<2: return False\n    d=2\n    while d*d<=n:\n        if n%d==0: return False\n        d+=1\n    return False\n", "test_solution.py": "import unittest\nfrom solution import is_prime\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(is_prime(0), False)\n    def test_1(self):\n        self.assertEqual(is_prime(1), False)\n    def test_2(self):\n        self.assertEqual(is_prime(2), True)\n    def test_3(self):\n        self.assertEqual(is_prime(3), True)\n    def test_4(self):\n        self.assertEqual(is_prime(4), False)\n    def test_5(self):\n        self.assertEqual(is_prime(5), True)\n    def test_6(self):\n        self.assertEqual(is_prime(6), False)\n    def test_7(self):\n        self.assertEqual(is_prime(7), True)\n    def test_8(self):\n        self.assertEqual(is_prime(8), False)\n    def test_9(self):\n        self.assertEqual(is_prime(9), False)\n    def test_10(self):\n        self.assertEqual(is_prime(10), False)\n    def test_11(self):\n        self.assertEqual(is_prime(11), True)\n    def test_12(self):\n        self.assertEqual(is_prime(12), False)\n    def test_13(self):\n        self.assertEqual(is_prime(13), True)\n    def test_14(self):\n        self.assertEqual(is_prime(14), False)\n    def test_15(self):\n        self.assertEqual(is_prime(15), False)\n    def test_16(self):\n        self.assertEqual(is_prime(16), False)\n    def test_17(self):\n        self.assertEqual(is_prime(17), True)\n    def test_18(self):\n        self.assertEqual(is_prime(18), False)\n    def test_19(self):\n        self.assertEqual(is_prime(19), True)\n"}}, "topic": "algorithms"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-micro-is-prime-c95831d35dad", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 1.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.6}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 8, "passed": false, "skipped": 0, "tests_run": 20}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... FAIL\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... FAIL\ntest_14 (test_solution.Test.test_14) ... ok\ntest_15 (test_solution.Test.test_15) ... ok\ntest_16 (test_solution.Test.test_16) ... ok\ntest_17 (test_solution.Test.test_17) ... FAIL\ntest_18 (test_solution.Test.test_18) ... ok\ntest_19 (test_solution.Test.test_19) ... FAIL\ntest_2 (test_solution.Test.test_2) ... FAIL\ntest_3 (test_solution.Test.test_3) ... FAIL\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... FAIL\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... FAIL\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n======================================================================\nFAIL: test_11 (test_solution.Test.test_11)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 27, in test_11\n    self.assertEqual(is_prime(11), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_13 (test_solution.Test.test_13)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 31, in test_13\n    self.assertEqual(is_prime(13), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_17 (test_solution.Test.test_17)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 39, in test_17\n    self.assertEqual(is_prime(17), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_19 (test_solution.Test.test_19)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 43, in test_19\n    self.assertEqual(is_prime(19), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_2 (test_solution.Test.test_2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 9, in test_2\n    self.assertEqual(is_prime(2), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_3 (test_solution.Test.test_3)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 11, in test_3\n    self.assertEqual(is_prime(3), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_5 (test_solution.Test.test_5)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 15, in test_5\n    self.assertEqual(is_prime(5), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_7 (test_solution.Test.test_7)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 19, in test_7\n    self.assertEqual(is_prime(7), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n----------------------------------------------------------------------\nRan 20 tests in 0.001s\n\nFAILED (failures=8)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 20, \"failures\": 8, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 8, "tests_passed": 12}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_is_prime", "tests_passed_after_fix": 20, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `is_prime`: True iff n is prime. Use only the Python standard library.\n\n--- solution.py (buggy) ---\ndef is_prime(n):\n if n<2: return False\n d=2\n while d*d<=n:\n if n%d==0: return False\n d+=1\n return False\n\n--- test_solution.py ---\nimport unittest\nfrom solution import is_prime\nclass Test(unittest.TestCase):\n def test_0(self):\n self.assertEqual(is_prime(0), False)\n def test_1(self):\n self.assertEqual(is_prime(1), False)\n def test_2(self):\n self.assertEqual(is_prime(2), True)\n def test_3(self):\n self.assertEqual(is_prime(3), True)\n def test_4(self):\n self.assertEqual(is_prime(4), False)\n def test_5(self):\n self.assertEqual(is_prime(5), True)\n def test_6(self):\n self.assertEqual(is_prime(6), False)\n def test_7(self):\n self.assertEqual(is_prime(7), True)\n def test_8(self):\n self.assertEqual(is_prime(8), False)\n def test_9(self):\n self.assertEqual(is_prime(9), False)\n def test_10(self):\n self.assertEqual(is_prime(10), False)\n def test_11(self):\n self.assertEqual(is_prime(11), True)\n def test_12(self):\n self.assertEqual(is_prime(12), False)\n def test_13(self):\n self.assertEqual(is_prime(13), True)\n def test_14(self):\n self.assertEqual(is_prime(14), False)\n def test_15(self):\n self.assertEqual(is_prime(15), False)\n def test_16(self):\n self.assertEqual(is_prime(16), False)\n def test_17(self):\n self.assertEqual(is_prime(17), True)\n def test_18(self):\n self.assertEqual(is_prime(18), False)\n def test_19(self):\n self.assertEqual(is_prime(19), True)\n\n--- failure ---\nest_19) ... FAIL\ntest_2 (test_solution.Test.test_2) ... FAIL\ntest_3 (test_solution.Test.test_3) ... FAIL\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... FAIL\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... FAIL\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n======================================================================\nFAIL: test_11 (test_solution.Test.test_11)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 27, in test_11\n self.assertEqual(is_prime(11), True)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_13 (test_solution.Test.test_13)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8w81s_0y\\test_solution.py\", line 31, in test_13\n self.assertEqual(is_prime(13), True)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_17 (test_solution.Test.test_17)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\L", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def is_prime(n):\n if n<2: return False\n d=2\n while d*d<=n:\n if n%d==0: return False\n d+=1\n return True", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 20}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_14 (test_solution.Test.test_14) ... ok\ntest_15 (test_solution.Test.test_15) ... ok\ntest_16 (test_solution.Test.test_16) ... ok\ntest_17 (test_solution.Test.test_17) ... ok\ntest_18 (test_solution.Test.test_18) ... ok\ntest_19 (test_solution.Test.test_19) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 20 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 20, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 20}}
{"answer": "def n_primes(n):\n def p(x):\n if x<2: return False\n d=2\n while d*d<=x:\n if x%d==0: return False\n d+=1\n return True\n return sum(p(i) for i in range(1,n+1))", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def n_primes(n):\n    def p(x):\n        if x<2: return False\n        d=2\n        while d*d<=x:\n            if x%d==0: return False\n            d+=1\n        return True\n    return sum(p(i) for i in range(1,n+1))\n", "test_solution.py": "import unittest\nfrom solution import n_primes\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(n_primes(0), 0)\n    def test_1(self):\n        self.assertEqual(n_primes(1), 0)\n    def test_2(self):\n        self.assertEqual(n_primes(2), 1)\n    def test_3(self):\n        self.assertEqual(n_primes(10), 4)\n    def test_4(self):\n        self.assertEqual(n_primes(20), 8)\n    def test_5(self):\n        self.assertEqual(n_primes(30), 10)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-n-primes-2ddac0083192", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.65, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 4.325}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_n_primes", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `n_primes`: Count primes in 1..n inclusive. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def n_primes(n):\n def p(x):\n if x<2: return False\n d=2\n while d*d<=x:\n if x%d==0: return False\n d+=1\n return True\n return sum(p(i) for i in range(1,n+1))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 6}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\n\n----------------------------------------------------------------------\nRan 6 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 6, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 6}}
{"answer": "def n_primes(n):\n def p(x):\n if x<2: return False\n d=2\n while d*d<=x:\n if x%d==0: return False\n d+=1\n return True\n return sum(p(i) for i in range(1,n+1))", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 6, \"failures\": 4, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... FAIL\ntest_3 (test_solution.Test.test_3) ... FAIL\ntest_4 (test_solution.Test.test_4) ... FAIL\ntest_5 (test_solution.Test.test_5) ... FAIL\n\n======================================================================\nFAIL: test_2 (test_solution.Test.test_2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5ij7ym8g\\test_solution.py\", line 9, in test_2\n    self.assertEqual(n_primes(2), 1)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^\nAssertionError: 0 != 1\n\n======================================================================\nFAIL: test_3 (test_solution.Test.test_3)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5ij7ym8g\\test_solution.py\", line 11, in test_3\n    self.assertEqual(n_primes(10), 4)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 4\n\n======================================================================\nFAIL: test_4 (test_solution.Test.test_4)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5ij7ym8g\\test_solution.py\", line 13, in test_4\n    self.assertEqual(n_primes(20), 8)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 8\n\n======================================================================\nFAIL: test_5 (test_solution.Test.test_5)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5ij7ym8g\\test_solution.py\", line 15, in test_5\n    self.assertEqual(n_primes(30), 10)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 10\n\n----------------------------------------------------------------------\nRan 6 tests in 0.001s\n\nFAILED (failures=4)\n"}, "language": "python", "repository": {"files": {"solution.py": "def n_primes(n):\n    def p(x):\n        if x<2: return False\n        d=2\n        while d*d<=x:\n            if x%d==0: return False\n            d+=1\n        return False\n    return sum(p(i) for i in range(1,n+1))\n", "test_solution.py": "import unittest\nfrom solution import n_primes\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(n_primes(0), 0)\n    def test_1(self):\n        self.assertEqual(n_primes(1), 0)\n    def test_2(self):\n        self.assertEqual(n_primes(2), 1)\n    def test_3(self):\n        self.assertEqual(n_primes(10), 4)\n    def test_4(self):\n        self.assertEqual(n_primes(20), 8)\n    def test_5(self):\n        self.assertEqual(n_primes(30), 10)\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-micro-n-primes-a861c2a3676c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.65, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.95}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 4, "passed": false, "skipped": 0, "tests_run": 6}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... FAIL\ntest_3 (test_solution.Test.test_3) ... FAIL\ntest_4 (test_solution.Test.test_4) ... FAIL\ntest_5 (test_solution.Test.test_5) ... FAIL\n\n======================================================================\nFAIL: test_2 (test_solution.Test.test_2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5ij7ym8g\\test_solution.py\", line 9, in test_2\n    self.assertEqual(n_primes(2), 1)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^\nAssertionError: 0 != 1\n\n======================================================================\nFAIL: test_3 (test_solution.Test.test_3)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5ij7ym8g\\test_solution.py\", line 11, in test_3\n    self.assertEqual(n_primes(10), 4)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 4\n\n======================================================================\nFAIL: test_4 (test_solution.Test.test_4)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5ij7ym8g\\test_solution.py\", line 13, in test_4\n    self.assertEqual(n_primes(20), 8)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 8\n\n======================================================================\nFAIL: test_5 (test_solution.Test.test_5)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5ij7ym8g\\test_solution.py\", line 15, in test_5\n    self.assertEqual(n_primes(30), 10)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 10\n\n----------------------------------------------------------------------\nRan 6 tests in 0.001s\n\nFAILED (failures=4)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 6, \"failures\": 4, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 4, "tests_passed": 2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_n_primes", "tests_passed_after_fix": 6, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `n_primes`: Count primes in 1..n inclusive. Use only the Python standard library.\n\n--- solution.py (buggy) ---\ndef n_primes(n):\n def p(x):\n if x<2: return False\n d=2\n while d*d<=x:\n if x%d==0: return False\n d+=1\n return False\n return sum(p(i) for i in range(1,n+1))\n\n--- test_solution.py ---\nimport unittest\nfrom solution import n_primes\nclass Test(unittest.TestCase):\n def test_0(self):\n self.assertEqual(n_primes(0), 0)\n def test_1(self):\n self.assertEqual(n_primes(1), 0)\n def test_2(self):\n self.assertEqual(n_primes(2), 1)\n def test_3(self):\n self.assertEqual(n_primes(10), 4)\n def test_4(self):\n self.assertEqual(n_primes(20), 8)\n def test_5(self):\n self.assertEqual(n_primes(30), 10)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 6, \"failures\": 4, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... FAIL\ntest_3 (test_solution.Test.test_3) ... FAIL\ntest_4 (test_solution.Test.test_4) ... FAIL\ntest_5 (test_solution.Test.test_5) ... FAIL\n\n======================================================================\nFAIL: test_2 (test_solution.Test.test_2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5ij7ym8g\\test_solution.py\", line 9, in test_2\n self.assertEqual(n_primes(2), 1)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^\nAssertionError: 0 != 1\n\n======================================================================\nFAIL: test_3 (test_solution.Test.test_3)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5ij7ym8g\\test_solution.py\", line 11, in test_3\n self.assertEqual(n_primes(10), 4)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\nAssertionError: 0 != 4\n\n======================================================================\nFAIL: test_4 (test_solution.Test.test_4)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5ij7ym8g\\tes", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def n_primes(n):\n def p(x):\n if x<2: return False\n d=2\n while d*d<=x:\n if x%d==0: return False\n d+=1\n return True\n return sum(p(i) for i in range(1,n+1))", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 6}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\n\n----------------------------------------------------------------------\nRan 6 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 6, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 6}}
{"answer": "def base_conv(n,b):\n digits='0123456789abcdef'\n if n==0: return '0'\n out=[]\n while n:\n out.append(digits[n%b]); n//=b\n return ''.join(reversed(out))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def base_conv(n,b):\n    digits='0123456789abcdef'\n    if n==0: return '0'\n    out=[]\n    while n:\n        out.append(digits[n%b]); n//=b\n    return ''.join(reversed(out))\n", "test_solution.py": "import unittest\nfrom solution import base_conv\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(base_conv(0, 2), '0')\n    def test_1(self):\n        self.assertEqual(base_conv(5, 2), '101')\n    def test_2(self):\n        self.assertEqual(base_conv(255, 16), 'ff')\n    def test_3(self):\n        self.assertEqual(base_conv(10, 10), '10')\n    def test_4(self):\n        self.assertEqual(base_conv(8, 8), '10')\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-base-conv-d0ef598945ab", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 4.325}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_base_conv", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `base_conv`: Convert non-negative int n to base b (2..16) as a lowercase string without prefix. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def base_conv(n,b):\n digits='0123456789abcdef'\n if n==0: return '0'\n out=[]\n while n:\n out.append(digits[n%b]); n//=b\n return ''.join(reversed(out))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n----------------------------------------------------------------------\nRan 5 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 5}}
{"answer": "def parse_int_base(s,b):\n return int(s,b)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def parse_int_base(s,b):\n    return int(s,b)\n", "test_solution.py": "import unittest\nfrom solution import parse_int_base\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(parse_int_base('1010', 2), 10)\n    def test_1(self):\n        self.assertEqual(parse_int_base('ff', 16), 255)\n    def test_2(self):\n        self.assertEqual(parse_int_base('17', 8), 15)\n    def test_3(self):\n        self.assertEqual(parse_int_base('0', 10), 0)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-parse-int-base-128d8dd8dad2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.325}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_parse_int_base", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `parse_int_base`: Parse s in base b (2..16). Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def parse_int_base(s,b):\n return int(s,b)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def hamming(a,b):\n if len(a)!=len(b): raise ValueError('len')\n return sum(x!=y for x,y in zip(a,b))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def hamming(a,b):\n    if len(a)!=len(b): raise ValueError('len')\n    return sum(x!=y for x,y in zip(a,b))\n", "test_solution.py": "import unittest\nfrom solution import hamming\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(hamming('karolin', 'kathrin'), 3)\n    def test_1(self):\n        self.assertEqual(hamming('000', '111'), 3)\n    def test_2(self):\n        self.assertEqual(hamming('a', 'a'), 0)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-hamming-a3f2e9a99dd4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 3.5250000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_hamming", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `hamming`: Hamming distance of two equal-length strings; ValueError if lengths differ. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def hamming(a,b):\n if len(a)!=len(b): raise ValueError('len')\n return sum(x!=y for x,y in zip(a,b))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def lev_one(a,b):\n if abs(len(a)-len(b))>1: return False\n if len(a)==len(b):\n return sum(x!=y for x,y in zip(a,b))<=1\n if len(a)>len(b): a,b=b,a\n i=j=diff=0\n while i<len(a) and j<len(b):\n if a[i]==b[j]:\n i+=1; j+=1\n else:\n diff+=1; j+=1\n if diff>1: return False\n return True", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def lev_one(a,b):\n    if abs(len(a)-len(b))>1: return False\n    if len(a)==len(b):\n        return sum(x!=y for x,y in zip(a,b))<=1\n    if len(a)>len(b): a,b=b,a\n    i=j=diff=0\n    while i<len(a) and j<len(b):\n        if a[i]==b[j]:\n            i+=1; j+=1\n        else:\n            diff+=1; j+=1\n            if diff>1: return False\n    return True\n", "test_solution.py": "import unittest\nfrom solution import lev_one\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(lev_one('cat', 'cut'), True)\n    def test_1(self):\n        self.assertEqual(lev_one('cat', 'cats'), True)\n    def test_2(self):\n        self.assertEqual(lev_one('cat', 'dog'), False)\n    def test_3(self):\n        self.assertEqual(lev_one('a', 'a'), True)\n    def test_4(self):\n        self.assertEqual(lev_one('ab', 'a'), True)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-lev-one-39be00e33470", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 5.0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_lev_one", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `lev_one`: True iff Levenshtein distance of a,b is at most 1. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def lev_one(a,b):\n if abs(len(a)-len(b))>1: return False\n if len(a)==len(b):\n return sum(x!=y for x,y in zip(a,b))<=1\n if len(a)>len(b): a,b=b,a\n i=j=diff=0\n while i<len(a) and j<len(b):\n if a[i]==b[j]:\n i+=1; j+=1\n else:\n diff+=1; j+=1\n if diff>1: return False\n return True", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n----------------------------------------------------------------------\nRan 5 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 5}}
{"answer": "def lev_one(a,b):\n if abs(len(a)-len(b))>1: return False\n if len(a)==len(b):\n return sum(x!=y for x,y in zip(a,b))<=1\n if len(a)>len(b): a,b=b,a\n i=j=diff=0\n while i<len(a) and j<len(b):\n if a[i]==b[j]:\n i+=1; j+=1\n else:\n diff+=1; j+=1\n if diff>1: return False\n return True", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... FAIL\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... FAIL\n\n======================================================================\nFAIL: test_1 (test_solution.Test.test_1)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ue8fkkap\\test_solution.py\", line 7, in test_1\n    self.assertEqual(lev_one('cat', 'cats'), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_4 (test_solution.Test.test_4)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ue8fkkap\\test_solution.py\", line 13, in test_4\n    self.assertEqual(lev_one('ab', 'a'), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n----------------------------------------------------------------------\nRan 5 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "def lev_one(a,b):\n    if abs(len(a)-len(b))>1: return False\n    if len(a)==len(b):\n        return sum(x!=y for x,y in zip(a,b))<=1\n    if len(a)>len(b): a,b=b,a\n    i=j=diff=0\n    while i<len(a) and j<len(b):\n        if a[i]==b[j]:\n            i+=1; j+=1\n        else:\n            diff+=1; j+=1\n            if diff>1: return False\n    return False\n", "test_solution.py": "import unittest\nfrom solution import lev_one\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(lev_one('cat', 'cut'), True)\n    def test_1(self):\n        self.assertEqual(lev_one('cat', 'cats'), True)\n    def test_2(self):\n        self.assertEqual(lev_one('cat', 'dog'), False)\n    def test_3(self):\n        self.assertEqual(lev_one('a', 'a'), True)\n    def test_4(self):\n        self.assertEqual(lev_one('ab', 'a'), True)\n"}}, "topic": "algorithms"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-micro-lev-one-3e3fdedaa1d0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.0}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... FAIL\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... FAIL\n\n======================================================================\nFAIL: test_1 (test_solution.Test.test_1)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ue8fkkap\\test_solution.py\", line 7, in test_1\n    self.assertEqual(lev_one('cat', 'cats'), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_4 (test_solution.Test.test_4)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ue8fkkap\\test_solution.py\", line 13, in test_4\n    self.assertEqual(lev_one('ab', 'a'), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n----------------------------------------------------------------------\nRan 5 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 3}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_lev_one", "tests_passed_after_fix": 5, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `lev_one`: True iff Levenshtein distance of a,b is at most 1. Use only the Python standard library.\n\n--- solution.py (buggy) ---\ndef lev_one(a,b):\n if abs(len(a)-len(b))>1: return False\n if len(a)==len(b):\n return sum(x!=y for x,y in zip(a,b))<=1\n if len(a)>len(b): a,b=b,a\n i=j=diff=0\n while i<len(a) and j<len(b):\n if a[i]==b[j]:\n i+=1; j+=1\n else:\n diff+=1; j+=1\n if diff>1: return False\n return False\n\n--- test_solution.py ---\nimport unittest\nfrom solution import lev_one\nclass Test(unittest.TestCase):\n def test_0(self):\n self.assertEqual(lev_one('cat', 'cut'), True)\n def test_1(self):\n self.assertEqual(lev_one('cat', 'cats'), True)\n def test_2(self):\n self.assertEqual(lev_one('cat', 'dog'), False)\n def test_3(self):\n self.assertEqual(lev_one('a', 'a'), True)\n def test_4(self):\n self.assertEqual(lev_one('ab', 'a'), True)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... FAIL\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... FAIL\n\n======================================================================\nFAIL: test_1 (test_solution.Test.test_1)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ue8fkkap\\test_solution.py\", line 7, in test_1\n self.assertEqual(lev_one('cat', 'cats'), True)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_4 (test_solution.Test.test_4)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ue8fkkap\\test_solution.py\", line 13, in test_4\n self.assertEqual(lev_one('ab', 'a'), True)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n----------------------------------------------------------------------\nRan 5 tests in 0.001s\n\nFAILED (failures=2)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def lev_one(a,b):\n if abs(len(a)-len(b))>1: return False\n if len(a)==len(b):\n return sum(x!=y for x,y in zip(a,b))<=1\n if len(a)>len(b): a,b=b,a\n i=j=diff=0\n while i<len(a) and j<len(b):\n if a[i]==b[j]:\n i+=1; j+=1\n else:\n diff+=1; j+=1\n if diff>1: return False\n return True", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n----------------------------------------------------------------------\nRan 5 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 5}}
{"answer": "import re\ndef balanced_html(s):\n stack=[]; i=0\n while i<len(s):\n if s.startswith('</',i):\n m=re.match(r'</([a-z]+)>', s[i:])\n if not m or not stack or stack[-1]!=m.group(1): return False\n stack.pop(); i+=m.end()\n elif s[i]=='<':\n m=re.match(r'<([a-z]+)>', s[i:])\n if not m: return False\n stack.append(m.group(1)); i+=m.end()\n else:\n i+=1\n return not stack", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\ndef balanced_html(s):\n    stack=[]; i=0\n    while i<len(s):\n        if s.startswith('</',i):\n            m=re.match(r'</([a-z]+)>', s[i:])\n            if not m or not stack or stack[-1]!=m.group(1): return False\n            stack.pop(); i+=m.end()\n        elif s[i]=='<':\n            m=re.match(r'<([a-z]+)>', s[i:])\n            if not m: return False\n            stack.append(m.group(1)); i+=m.end()\n        else:\n            i+=1\n    return not stack\n", "test_solution.py": "import unittest\nfrom solution import balanced_html\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(balanced_html('<b>x</b>'), True)\n    def test_1(self):\n        self.assertEqual(balanced_html('<b><i></i></b>'), True)\n    def test_2(self):\n        self.assertEqual(balanced_html('<b></i>'), False)\n    def test_3(self):\n        self.assertEqual(balanced_html('plain'), True)\n    def test_4(self):\n        self.assertEqual(balanced_html('<b><b></b>'), False)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-balanced-html-60efbcecda66", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.75, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 6.825}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_balanced_html", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `balanced_html`: True iff every <tag> is closed by </tag> with a stack, tags [a-z]+ only, no attributes. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\ndef balanced_html(s):\n stack=[]; i=0\n while i<len(s):\n if s.startswith('</',i):\n m=re.match(r'</([a-z]+)>', s[i:])\n if not m or not stack or stack[-1]!=m.group(1): return False\n stack.pop(); i+=m.end()\n elif s[i]=='<':\n m=re.match(r'<([a-z]+)>', s[i:])\n if not m: return False\n stack.append(m.group(1)); i+=m.end()\n else:\n i+=1\n return not stack", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n----------------------------------------------------------------------\nRan 5 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 5}}
{"answer": "import re\ndef balanced_html(s):\n stack=[]; i=0\n while i<len(s):\n if s.startswith('</',i):\n m=re.match(r'</([a-z]+)>', s[i:])\n if not m or not stack or stack[-1]!=m.group(1): return False\n stack.pop(); i+=m.end()\n elif s[i]=='<':\n m=re.match(r'<([a-z]+)>', s[i:])\n if not m: return False\n stack.append(m.group(1)); i+=m.end()\n else:\n i+=1\n return not stack", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... FAIL\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n======================================================================\nFAIL: test_2 (test_solution.Test.test_2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7jxaq2cl\\test_solution.py\", line 9, in test_2\n    self.assertEqual(balanced_html('<b></i>'), False)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True != False\n\n----------------------------------------------------------------------\nRan 5 tests in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "import re\ndef balanced_html(s):\n    stack=[]; i=0\n    while i<len(s):\n        if s.startswith('</',i):\n            m=re.match(r'</([a-z]+)>', s[i:])\n            if not m or not stack or stack[-1]!=m.group(1): return True\n            stack.pop(); i+=m.end()\n        elif s[i]=='<':\n            m=re.match(r'<([a-z]+)>', s[i:])\n            if not m: return False\n            stack.append(m.group(1)); i+=m.end()\n        else:\n            i+=1\n    return not stack\n", "test_solution.py": "import unittest\nfrom solution import balanced_html\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(balanced_html('<b>x</b>'), True)\n    def test_1(self):\n        self.assertEqual(balanced_html('<b><i></i></b>'), True)\n    def test_2(self):\n        self.assertEqual(balanced_html('<b></i>'), False)\n    def test_3(self):\n        self.assertEqual(balanced_html('plain'), True)\n    def test_4(self):\n        self.assertEqual(balanced_html('<b><b></b>'), False)\n"}}, "topic": "algorithms"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-micro-balanced-html-6fbe9e3bcafd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.75, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.05}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... FAIL\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n======================================================================\nFAIL: test_2 (test_solution.Test.test_2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7jxaq2cl\\test_solution.py\", line 9, in test_2\n    self.assertEqual(balanced_html('<b></i>'), False)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True != False\n\n----------------------------------------------------------------------\nRan 5 tests in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 4}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_balanced_html", "tests_passed_after_fix": 5, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `balanced_html`: True iff every <tag> is closed by </tag> with a stack, tags [a-z]+ only, no attributes. Use only the Python standard library.\n\n--- solution.py (buggy) ---\nimport re\ndef balanced_html(s):\n stack=[]; i=0\n while i<len(s):\n if s.startswith('</',i):\n m=re.match(r'</([a-z]+)>', s[i:])\n if not m or not stack or stack[-1]!=m.group(1): return True\n stack.pop(); i+=m.end()\n elif s[i]=='<':\n m=re.match(r'<([a-z]+)>', s[i:])\n if not m: return False\n stack.append(m.group(1)); i+=m.end()\n else:\n i+=1\n return not stack\n\n--- test_solution.py ---\nimport unittest\nfrom solution import balanced_html\nclass Test(unittest.TestCase):\n def test_0(self):\n self.assertEqual(balanced_html('<b>x</b>'), True)\n def test_1(self):\n self.assertEqual(balanced_html('<b><i></i></b>'), True)\n def test_2(self):\n self.assertEqual(balanced_html('<b></i>'), False)\n def test_3(self):\n self.assertEqual(balanced_html('plain'), True)\n def test_4(self):\n self.assertEqual(balanced_html('<b><b></b>'), False)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... FAIL\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n======================================================================\nFAIL: test_2 (test_solution.Test.test_2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7jxaq2cl\\test_solution.py\", line 9, in test_2\n self.assertEqual(balanced_html('<b></i>'), False)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True != False\n\n----------------------------------------------------------------------\nRan 5 tests in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:49Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\ndef balanced_html(s):\n stack=[]; i=0\n while i<len(s):\n if s.startswith('</',i):\n m=re.match(r'</([a-z]+)>', s[i:])\n if not m or not stack or stack[-1]!=m.group(1): return False\n stack.pop(); i+=m.end()\n elif s[i]=='<':\n m=re.match(r'<([a-z]+)>', s[i:])\n if not m: return False\n stack.append(m.group(1)); i+=m.end()\n else:\n i+=1\n return not stack", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n----------------------------------------------------------------------\nRan 5 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 5}}
{"answer": "def path_join(parts):\n s='/'.join(parts)\n while '//' in s:\n s=s.replace('//','/')\n return s", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def path_join(parts):\n    s='/'.join(parts)\n    while '//' in s:\n        s=s.replace('//','/')\n    return s\n", "test_solution.py": "import unittest\nfrom solution import path_join\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(path_join(['a', 'b']), 'a/b')\n    def test_1(self):\n        self.assertEqual(path_join(['/a/', '/b']), '/a/b')\n    def test_2(self):\n        self.assertEqual(path_join(['a', '', 'b']), 'a/b')\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-path-join-83e6dd97f607", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 5.1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_path_join", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `path_join`: Join POSIX-like fragments, collapsing duplicate slashes but not resolving '..' . Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def path_join(parts):\n s='/'.join(parts)\n while '//' in s:\n s=s.replace('//','/')\n return s", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def ext_of(name):\n i=name.rfind('.')\n if i<=0: return ''\n return name[i:]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def ext_of(name):\n    i=name.rfind('.')\n    if i<=0: return ''\n    return name[i:]\n", "test_solution.py": "import unittest\nfrom solution import ext_of\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(ext_of('a.py'), '.py')\n    def test_1(self):\n        self.assertEqual(ext_of('a'), '')\n    def test_2(self):\n        self.assertEqual(ext_of('.gitignore'), '')\n    def test_3(self):\n        self.assertEqual(ext_of('a.b.c'), '.c')\n    def test_4(self):\n        self.assertEqual(ext_of('Makefile'), '')\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-ext-of-2df52f5bef1c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 3.5500000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_ext_of", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `ext_of`: File extension including the dot, or '' if none. Basename only. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def ext_of(name):\n i=name.rfind('.')\n if i<=0: return ''\n return name[i:]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n----------------------------------------------------------------------\nRan 5 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 5}}
{"answer": "def relpath_dots(p):\n n=0\n while p.startswith('../'):\n n+=1; p=p[3:]\n return n", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def relpath_dots(p):\n    n=0\n    while p.startswith('../'):\n        n+=1; p=p[3:]\n    return n\n", "test_solution.py": "import unittest\nfrom solution import relpath_dots\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(relpath_dots('../a'), 1)\n    def test_1(self):\n        self.assertEqual(relpath_dots('../../x'), 2)\n    def test_2(self):\n        self.assertEqual(relpath_dots('a/b'), 0)\n    def test_3(self):\n        self.assertEqual(relpath_dots('../../../'), 3)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-relpath-dots-befbe1d038d2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 4.1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_relpath_dots", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `relpath_dots`: Count leading '../' segments in a relative path string. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def relpath_dots(p):\n n=0\n while p.startswith('../'):\n n+=1; p=p[3:]\n return n", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def semver_major(s):\n return int(s.split('.')[0])", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def semver_major(s):\n    return int(s.split('.')[0])\n", "test_solution.py": "import unittest\nfrom solution import semver_major\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(semver_major('1.2.3'), 1)\n    def test_1(self):\n        self.assertEqual(semver_major('0.1.0'), 0)\n    def test_2(self):\n        self.assertEqual(semver_major('10.0.0'), 10)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-semver-major-9110b9a9d494", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.2750000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_semver_major", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `semver_major`: Integer major version from 'X.Y.Z' (digits). Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def semver_major(s):\n return int(s.split('.')[0])", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def iso_week_simple(s):\n y,m,d=s.split('-')\n return int(y),int(m),int(d)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def iso_week_simple(s):\n    y,m,d=s.split('-')\n    return int(y),int(m),int(d)\n", "test_solution.py": "import unittest\nfrom solution import iso_week_simple\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(iso_week_simple('2026-08-18'), (2026, 8, 18))\n    def test_1(self):\n        self.assertEqual(iso_week_simple('1999-01-02'), (1999, 1, 2))\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-iso-week-simple-9c9071e03a05", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 3.8249999999999997}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_iso_week_simple", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `iso_week_simple`: Map YYYY-MM-DD to (year, month, day) ints without validation. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def iso_week_simple(s):\n y,m,d=s.split('-')\n return int(y),int(m),int(d)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def bytes_human(n):\n units=['B','KiB','MiB','GiB']\n f=float(n); i=0\n while f>=1024 and i<len(units)-1:\n f/=1024; i+=1\n if i==0: return f'{int(f)}B'\n return f'{f:.1f}{units[i]}'", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def bytes_human(n):\n    units=['B','KiB','MiB','GiB']\n    f=float(n); i=0\n    while f>=1024 and i<len(units)-1:\n        f/=1024; i+=1\n    if i==0: return f'{int(f)}B'\n    return f'{f:.1f}{units[i]}'\n", "test_solution.py": "import unittest\nfrom solution import bytes_human\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(bytes_human(0), '0B')\n    def test_1(self):\n        self.assertEqual(bytes_human(500), '500B')\n    def test_2(self):\n        self.assertEqual(bytes_human(1024), '1.0KiB')\n    def test_3(self):\n        self.assertEqual(bytes_human(1536), '1.5KiB')\n    def test_4(self):\n        self.assertEqual(bytes_human(1048576), '1.0MiB')\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-bytes-human-73057e6e1ac3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.5}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_bytes_human", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `bytes_human`: Format n bytes as integer unit: B, KiB, MiB, GiB using 1024, one decimal if unit!=B. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def bytes_human(n):\n units=['B','KiB','MiB','GiB']\n f=float(n); i=0\n while f>=1024 and i<len(units)-1:\n f/=1024; i+=1\n if i==0: return f'{int(f)}B'\n return f'{f:.1f}{units[i]}'", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 5}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\n\n----------------------------------------------------------------------\nRan 5 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 5, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 5}}
{"answer": "import re\ndef slug_n(s):\n toks=re.findall(r'[a-z0-9]+', s.lower())\n return '-'.join(toks)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\ndef slug_n(s):\n    toks=re.findall(r'[a-z0-9]+', s.lower())\n    return '-'.join(toks)\n", "test_solution.py": "import unittest\nfrom solution import slug_n\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(slug_n('Open Reason 1'), 'open-reason-1')\n    def test_1(self):\n        self.assertEqual(slug_n('Hello!!!'), 'hello')\n    def test_2(self):\n        self.assertEqual(slug_n('already-ok'), 'already-ok')\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-slug-n-299b58f8299e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 4.725}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_slug_n", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `slug_n`: Keep [a-z0-9]+ lowercase tokens joined by hyphen. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\ndef slug_n(s):\n toks=re.findall(r'[a-z0-9]+', s.lower())\n return '-'.join(toks)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def mask_email(s):\n if '@' not in s: return s\n local,dom=s.split('@',1)\n if not local: return s\n return local[0]+'***@'+dom", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def mask_email(s):\n    if '@' not in s: return s\n    local,dom=s.split('@',1)\n    if not local: return s\n    return local[0]+'***@'+dom\n", "test_solution.py": "import unittest\nfrom solution import mask_email\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(mask_email('a@b.com'), 'a***@b.com')\n    def test_1(self):\n        self.assertEqual(mask_email('user@example.com'), 'u***@example.com')\n    def test_2(self):\n        self.assertEqual(mask_email('nope'), 'nope')\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-mask-email-0fb993d50fa2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.65, "tests": 0.0, "total": 5.525}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_mask_email", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `mask_email`: Replace local part of an email with first char + '***' + domain; if no @ return s. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def mask_email(s):\n if '@' not in s: return s\n local,dom=s.split('@',1)\n if not local: return s\n return local[0]+'***@'+dom", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def score_bowling_frame(a,b):\n if a==10: return 10\n return a+b", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def score_bowling_frame(a,b):\n    if a==10: return 10\n    return a+b\n", "test_solution.py": "import unittest\nfrom solution import score_bowling_frame\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(score_bowling_frame(10, 0), 10)\n    def test_1(self):\n        self.assertEqual(score_bowling_frame(7, 2), 9)\n    def test_2(self):\n        self.assertEqual(score_bowling_frame(0, 0), 0)\n    def test_3(self):\n        self.assertEqual(score_bowling_frame(9, 1), 10)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-score-bowling-frame-c6db2ff84c9f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 4.0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_score_bowling_frame", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `score_bowling_frame`: Score one bowling frame given two rolls 0-10; if first is 10 ignore second and return 10. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def score_bowling_frame(a,b):\n if a==10: return 10\n return a+b", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def grade_pct(p):\n if p>=90: return 'A'\n if p>=80: return 'B'\n if p>=70: return 'C'\n if p>=60: return 'D'\n return 'F'", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def grade_pct(p):\n    if p>=90: return 'A'\n    if p>=80: return 'B'\n    if p>=70: return 'C'\n    if p>=60: return 'D'\n    return 'F'\n", "test_solution.py": "import unittest\nfrom solution import grade_pct\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(grade_pct(100), 'A')\n    def test_1(self):\n        self.assertEqual(grade_pct(90), 'A')\n    def test_2(self):\n        self.assertEqual(grade_pct(89), 'B')\n    def test_3(self):\n        self.assertEqual(grade_pct(70), 'C')\n    def test_4(self):\n        self.assertEqual(grade_pct(60), 'D')\n    def test_5(self):\n        self.assertEqual(grade_pct(59), 'F')\n    def test_6(self):\n        self.assertEqual(grade_pct(0), 'F')\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-grade-pct-47881c884cec", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 3.65}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_grade_pct", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `grade_pct`: Letter from percent: A>=90, B>=80, C>=70, D>=60 else F. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def grade_pct(p):\n if p>=90: return 'A'\n if p>=80: return 'B'\n if p>=70: return 'C'\n if p>=60: return 'D'\n return 'F'", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 7}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\n\n----------------------------------------------------------------------\nRan 7 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 7, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 7}}
{"answer": "def rle_decode(pairs):\n return ''.join(ch*n for ch,n in pairs)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def rle_decode(pairs):\n    return ''.join(ch*n for ch,n in pairs)\n", "test_solution.py": "import unittest\nfrom solution import rle_decode\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(rle_decode([('a', 3), ('b', 1)]), 'aaab')\n    def test_1(self):\n        self.assertEqual(rle_decode([]), '')\n    def test_2(self):\n        self.assertEqual(rle_decode([('x', 1)]), 'x')\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-rle-decode-1d74c7da02e9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.5250000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_rle_decode", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `rle_decode`: Decode list of (char,count) to string. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def rle_decode(pairs):\n return ''.join(ch*n for ch,n in pairs)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def set_bits_below(n):\n return (1<<n)-1", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def set_bits_below(n):\n    return (1<<n)-1\n", "test_solution.py": "import unittest\nfrom solution import set_bits_below\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(set_bits_below(0), 0)\n    def test_1(self):\n        self.assertEqual(set_bits_below(1), 1)\n    def test_2(self):\n        self.assertEqual(set_bits_below(2), 3)\n    def test_3(self):\n        self.assertEqual(set_bits_below(3), 7)\n    def test_4(self):\n        self.assertEqual(set_bits_below(4), 15)\n    def test_5(self):\n        self.assertEqual(set_bits_below(5), 31)\n    def test_6(self):\n        self.assertEqual(set_bits_below(6), 63)\n    def test_7(self):\n        self.assertEqual(set_bits_below(7), 127)\n    def test_8(self):\n        self.assertEqual(set_bits_below(8), 255)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-set-bits-below-543bbdf502ea", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 3.9250000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_set_bits_below", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `set_bits_below`: Value with the lowest n bits set, n in 0..16. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def set_bits_below(n):\n return (1<<n)-1", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 9}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\n\n----------------------------------------------------------------------\nRan 9 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 9, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 9}}
{"answer": "def align_up(n,align):\n return n if n%align==0 else n+(align-n%align)", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def align_up(n,align):\n    return n if n%align==0 else n+(align-n%align)\n", "test_solution.py": "import unittest\nfrom solution import align_up\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(align_up(0, 8), 0)\n    def test_1(self):\n        self.assertEqual(align_up(1, 8), 8)\n    def test_2(self):\n        self.assertEqual(align_up(8, 8), 8)\n    def test_3(self):\n        self.assertEqual(align_up(15, 4), 16)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-align-up-ecc9bdb6ba8b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 3.85}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_align_up", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `align_up`: Smallest multiple of `align` >= n, align>0. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def align_up(n,align):\n return n if n%align==0 else n+(align-n%align)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def gray_encode(n):\n return n ^ (n>>1)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def gray_encode(n):\n    return n ^ (n>>1)\n", "test_solution.py": "import unittest\nfrom solution import gray_encode\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(gray_encode(0), 0)\n    def test_1(self):\n        self.assertEqual(gray_encode(1), 1)\n    def test_2(self):\n        self.assertEqual(gray_encode(2), 3)\n    def test_3(self):\n        self.assertEqual(gray_encode(3), 2)\n    def test_4(self):\n        self.assertEqual(gray_encode(4), 6)\n    def test_5(self):\n        self.assertEqual(gray_encode(5), 7)\n    def test_6(self):\n        self.assertEqual(gray_encode(6), 5)\n    def test_7(self):\n        self.assertEqual(gray_encode(7), 4)\n    def test_8(self):\n        self.assertEqual(gray_encode(8), 12)\n    def test_9(self):\n        self.assertEqual(gray_encode(9), 13)\n    def test_10(self):\n        self.assertEqual(gray_encode(10), 15)\n    def test_11(self):\n        self.assertEqual(gray_encode(11), 14)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-gray-encode-61fa9bfa302b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.775, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.15}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_gray_encode", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `gray_encode`: Binary-reflected Gray code of n: n xor (n>>1). Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def gray_encode(n):\n return n ^ (n>>1)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 12}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 12 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 12, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 12}}
{"answer": "def is_pow2(n):\n return n>0 and (n & (n-1))==0", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def is_pow2(n):\n    return n>0 and (n & (n-1))==0\n", "test_solution.py": "import unittest\nfrom solution import is_pow2\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(is_pow2(-1), False)\n    def test_1(self):\n        self.assertEqual(is_pow2(0), False)\n    def test_2(self):\n        self.assertEqual(is_pow2(1), True)\n    def test_3(self):\n        self.assertEqual(is_pow2(2), True)\n    def test_4(self):\n        self.assertEqual(is_pow2(3), False)\n    def test_5(self):\n        self.assertEqual(is_pow2(4), True)\n    def test_6(self):\n        self.assertEqual(is_pow2(5), False)\n    def test_7(self):\n        self.assertEqual(is_pow2(6), False)\n    def test_8(self):\n        self.assertEqual(is_pow2(7), False)\n    def test_9(self):\n        self.assertEqual(is_pow2(8), True)\n    def test_10(self):\n        self.assertEqual(is_pow2(9), False)\n    def test_11(self):\n        self.assertEqual(is_pow2(10), False)\n    def test_12(self):\n        self.assertEqual(is_pow2(11), False)\n    def test_13(self):\n        self.assertEqual(is_pow2(12), False)\n    def test_14(self):\n        self.assertEqual(is_pow2(13), False)\n    def test_15(self):\n        self.assertEqual(is_pow2(14), False)\n    def test_16(self):\n        self.assertEqual(is_pow2(15), False)\n    def test_17(self):\n        self.assertEqual(is_pow2(16), True)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-is-pow2-13409319046f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 1.075, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 4.35}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_is_pow2", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `is_pow2`: True iff n is a power of two (n>0). Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:50Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def is_pow2(n):\n return n>0 and (n & (n-1))==0", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 18}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_10 (test_solution.Test.test_10) ... ok\ntest_11 (test_solution.Test.test_11) ... ok\ntest_12 (test_solution.Test.test_12) ... ok\ntest_13 (test_solution.Test.test_13) ... ok\ntest_14 (test_solution.Test.test_14) ... ok\ntest_15 (test_solution.Test.test_15) ... ok\ntest_16 (test_solution.Test.test_16) ... ok\ntest_17 (test_solution.Test.test_17) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\ntest_4 (test_solution.Test.test_4) ... ok\ntest_5 (test_solution.Test.test_5) ... ok\ntest_6 (test_solution.Test.test_6) ... ok\ntest_7 (test_solution.Test.test_7) ... ok\ntest_8 (test_solution.Test.test_8) ... ok\ntest_9 (test_solution.Test.test_9) ... ok\n\n----------------------------------------------------------------------\nRan 18 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 18, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 18}}
{"answer": "def clamp_list(xs,lo,hi):\n return [lo if x<lo else hi if x>hi else x for x in xs]", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def clamp_list(xs,lo,hi):\n    return [lo if x<lo else hi if x>hi else x for x in xs]\n", "test_solution.py": "import unittest\nfrom solution import clamp_list\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(clamp_list([0, 5, 10], 1, 8), [1, 5, 8])\n    def test_1(self):\n        self.assertEqual(clamp_list([], 0, 1), [])\n    def test_2(self):\n        self.assertEqual(clamp_list([-3], 0, 1), [0])\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-clamp-list-b61b8397e69b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 3.3000000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_clamp_list", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `clamp_list`: Clamp each value of xs into [lo,hi]. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def clamp_list(xs,lo,hi):\n return [lo if x<lo else hi if x>hi else x for x in xs]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def dot(a,b):\n if len(a)!=len(b): raise ValueError('len')\n return sum(x*y for x,y in zip(a,b))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def dot(a,b):\n    if len(a)!=len(b): raise ValueError('len')\n    return sum(x*y for x,y in zip(a,b))\n", "test_solution.py": "import unittest\nfrom solution import dot\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(dot([1, 2, 3], [4, 5, 6]), 32)\n    def test_1(self):\n        self.assertEqual(dot([], []), 0)\n    def test_2(self):\n        self.assertEqual(dot([2], [3]), 6)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-dot-fef839381979", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 3.7}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_dot", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `dot`: Dot product of equal-length lists; ValueError otherwise. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def dot(a,b):\n if len(a)!=len(b): raise ValueError('len')\n return sum(x*y for x,y in zip(a,b))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def softmax_argmax(xs):\n if not xs: return -1\n return max(range(len(xs)), key=lambda i: xs[i])", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def softmax_argmax(xs):\n    if not xs: return -1\n    return max(range(len(xs)), key=lambda i: xs[i])\n", "test_solution.py": "import unittest\nfrom solution import softmax_argmax\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(softmax_argmax([0.1, 0.7, 0.2]), 1)\n    def test_1(self):\n        self.assertEqual(softmax_argmax([]), -1)\n    def test_2(self):\n        self.assertEqual(softmax_argmax([1, 1]), 0)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-softmax-argmax-81bb03c4e7ed", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 3.8750000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_softmax_argmax", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `softmax_argmax`: Index of max in xs (first on ties); -1 if empty. (No actual softmax.) Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def softmax_argmax(xs):\n if not xs: return -1\n return max(range(len(xs)), key=lambda i: xs[i])", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def tokenize_ws(s):\n return s.split()", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def tokenize_ws(s):\n    return s.split()\n", "test_solution.py": "import unittest\nfrom solution import tokenize_ws\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(tokenize_ws('a  b\\\\tc'), ['a', 'b\\\\tc'])\n    def test_1(self):\n        self.assertEqual(tokenize_ws(''), [])\n    def test_2(self):\n        self.assertEqual(tokenize_ws('  x'), ['x'])\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-tokenize-ws-a7844a347835", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.2750000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_tokenize_ws", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `tokenize_ws`: Split on whitespace and drop empties. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def tokenize_ws(s):\n return s.split()", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def camel_from_snake(s):\n parts=[p for p in s.split('_') if p]\n if not parts: return ''\n return parts[0].lower()+''.join(p[:1].upper()+p[1:] for p in parts[1:])", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def camel_from_snake(s):\n    parts=[p for p in s.split('_') if p]\n    if not parts: return ''\n    return parts[0].lower()+''.join(p[:1].upper()+p[1:] for p in parts[1:])\n", "test_solution.py": "import unittest\nfrom solution import camel_from_snake\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(camel_from_snake('open_reason'), 'openReason')\n    def test_1(self):\n        self.assertEqual(camel_from_snake('a'), 'a')\n    def test_2(self):\n        self.assertEqual(camel_from_snake('already'), 'already')\n    def test_3(self):\n        self.assertEqual(camel_from_snake(''), '')\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-camel-from-snake-2e76ef366cc1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.875}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_camel_from_snake", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `camel_from_snake`: snake_case to camelCase (first token lower). Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def camel_from_snake(s):\n parts=[p for p in s.split('_') if p]\n if not parts: return ''\n return parts[0].lower()+''.join(p[:1].upper()+p[1:] for p in parts[1:])", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def unique_sorted(xs):\n return sorted(set(xs))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def unique_sorted(xs):\n    return sorted(set(xs))\n", "test_solution.py": "import unittest\nfrom solution import unique_sorted\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(unique_sorted([3, 1, 2, 1]), [1, 2, 3])\n    def test_1(self):\n        self.assertEqual(unique_sorted([]), [])\n    def test_2(self):\n        self.assertEqual(unique_sorted([0, 0]), [0])\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-unique-sorted-51a882b2ffbb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.2500000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_unique_sorted", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `unique_sorted`: Sorted unique values of xs. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def unique_sorted(xs):\n return sorted(set(xs))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def window_product(xs):\n if len(xs)<2: return None\n return max(xs[i]*xs[i+1] for i in range(len(xs)-1))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def window_product(xs):\n    if len(xs)<2: return None\n    return max(xs[i]*xs[i+1] for i in range(len(xs)-1))\n", "test_solution.py": "import unittest\nfrom solution import window_product\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(window_product([1, 5, 2]), 10)\n    def test_1(self):\n        self.assertEqual(window_product([2]), None)\n    def test_2(self):\n        self.assertEqual(window_product([-3, -2, 4]), 6)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-window-product-1691af9e12e6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 4.125}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_window_product", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `window_product`: Maximum product of any contiguous pair; None if len<2. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def window_product(xs):\n if len(xs)<2: return None\n return max(xs[i]*xs[i+1] for i in range(len(xs)-1))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def binsearch_exists(xs,target):\n lo,hi=0,len(xs)-1\n while lo<=hi:\n mid=(lo+hi)//2\n if xs[mid]==target: return True\n if xs[mid]<target: lo=mid+1\n else: hi=mid-1\n return False", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def binsearch_exists(xs,target):\n    lo,hi=0,len(xs)-1\n    while lo<=hi:\n        mid=(lo+hi)//2\n        if xs[mid]==target: return True\n        if xs[mid]<target: lo=mid+1\n        else: hi=mid-1\n    return False\n", "test_solution.py": "import unittest\nfrom solution import binsearch_exists\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(binsearch_exists([1, 3, 5, 7], 5), True)\n    def test_1(self):\n        self.assertEqual(binsearch_exists([1, 3, 5], 2), False)\n    def test_2(self):\n        self.assertEqual(binsearch_exists([], 1), False)\n    def test_3(self):\n        self.assertEqual(binsearch_exists([4], 4), True)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-binsearch-exists-838bf9e862b5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 5.05}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_binsearch_exists", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `binsearch_exists`: True iff target is in sorted xs (binary search). Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def binsearch_exists(xs,target):\n lo,hi=0,len(xs)-1\n while lo<=hi:\n mid=(lo+hi)//2\n if xs[mid]==target: return True\n if xs[mid]<target: lo=mid+1\n else: hi=mid-1\n return False", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def binsearch_exists(xs,target):\n lo,hi=0,len(xs)-1\n while lo<=hi:\n mid=(lo+hi)//2\n if xs[mid]==target: return True\n if xs[mid]<target: lo=mid+1\n else: hi=mid-1\n return False", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_0 (test_solution.Test.test_0) ... FAIL\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... FAIL\n\n======================================================================\nFAIL: test_0 (test_solution.Test.test_0)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-34pzawxi\\test_solution.py\", line 5, in test_0\n    self.assertEqual(binsearch_exists([1, 3, 5, 7], 5), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_3 (test_solution.Test.test_3)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-34pzawxi\\test_solution.py\", line 11, in test_3\n    self.assertEqual(binsearch_exists([4], 4), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n----------------------------------------------------------------------\nRan 4 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "def binsearch_exists(xs,target):\n    lo,hi=0,len(xs)-1\n    while lo<=hi:\n        mid=(lo+hi)//2\n        if xs[mid]==target: return False\n        if xs[mid]<target: lo=mid+1\n        else: hi=mid-1\n    return False\n", "test_solution.py": "import unittest\nfrom solution import binsearch_exists\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(binsearch_exists([1, 3, 5, 7], 5), True)\n    def test_1(self):\n        self.assertEqual(binsearch_exists([1, 3, 5], 2), False)\n    def test_2(self):\n        self.assertEqual(binsearch_exists([], 1), False)\n    def test_3(self):\n        self.assertEqual(binsearch_exists([4], 4), True)\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-micro-binsearch-exists-1a9be66beea0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.825}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... FAIL\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... FAIL\n\n======================================================================\nFAIL: test_0 (test_solution.Test.test_0)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-34pzawxi\\test_solution.py\", line 5, in test_0\n    self.assertEqual(binsearch_exists([1, 3, 5, 7], 5), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_3 (test_solution.Test.test_3)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-34pzawxi\\test_solution.py\", line 11, in test_3\n    self.assertEqual(binsearch_exists([4], 4), True)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n----------------------------------------------------------------------\nRan 4 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_binsearch_exists", "tests_passed_after_fix": 4, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `binsearch_exists`: True iff target is in sorted xs (binary search). Use only the Python standard library.\n\n--- solution.py (buggy) ---\ndef binsearch_exists(xs,target):\n lo,hi=0,len(xs)-1\n while lo<=hi:\n mid=(lo+hi)//2\n if xs[mid]==target: return False\n if xs[mid]<target: lo=mid+1\n else: hi=mid-1\n return False\n\n--- test_solution.py ---\nimport unittest\nfrom solution import binsearch_exists\nclass Test(unittest.TestCase):\n def test_0(self):\n self.assertEqual(binsearch_exists([1, 3, 5, 7], 5), True)\n def test_1(self):\n self.assertEqual(binsearch_exists([1, 3, 5], 2), False)\n def test_2(self):\n self.assertEqual(binsearch_exists([], 1), False)\n def test_3(self):\n self.assertEqual(binsearch_exists([4], 4), True)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_0 (test_solution.Test.test_0) ... FAIL\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... FAIL\n\n======================================================================\nFAIL: test_0 (test_solution.Test.test_0)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-34pzawxi\\test_solution.py\", line 5, in test_0\n self.assertEqual(binsearch_exists([1, 3, 5, 7], 5), True)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n======================================================================\nFAIL: test_3 (test_solution.Test.test_3)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-34pzawxi\\test_solution.py\", line 11, in test_3\n self.assertEqual(binsearch_exists([4], 4), True)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False != True\n\n----------------------------------------------------------------------\nRan 4 tests in 0.001s\n\nFAILED (failures=2)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def binsearch_exists(xs,target):\n lo,hi=0,len(xs)-1\n while lo<=hi:\n mid=(lo+hi)//2\n if xs[mid]==target: return True\n if xs[mid]<target: lo=mid+1\n else: hi=mid-1\n return False", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def queue_ttl_ready(events,now):\n return [item for t,item in events if t<=now]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def queue_ttl_ready(events,now):\n    return [item for t,item in events if t<=now]\n", "test_solution.py": "import unittest\nfrom solution import queue_ttl_ready\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(queue_ttl_ready([(1, 'a'), (5, 'b')], 3), ['a'])\n    def test_1(self):\n        self.assertEqual(queue_ttl_ready([], 0), [])\n    def test_2(self):\n        self.assertEqual(queue_ttl_ready([(0, 'x')], 0), ['x'])\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-queue-ttl-ready-6e406222728a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 3.4250000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_queue_ttl_ready", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `queue_ttl_ready`: From list of (t,item) already sorted by t, return items with t<=now. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def queue_ttl_ready(events,now):\n return [item for t,item in events if t<=now]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def majority_vote(xs):\n if not xs: return None\n cand=None; v=0\n for x in xs:\n if v==0: cand=x\n v += 1 if x==cand else -1\n if xs.count(cand)>len(xs)//2: return cand\n return None", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def majority_vote(xs):\n    if not xs: return None\n    cand=None; v=0\n    for x in xs:\n        if v==0: cand=x\n        v += 1 if x==cand else -1\n    if xs.count(cand)>len(xs)//2: return cand\n    return None\n", "test_solution.py": "import unittest\nfrom solution import majority_vote\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(majority_vote([1, 1, 2]), 1)\n    def test_1(self):\n        self.assertEqual(majority_vote([1, 2, 3]), None)\n    def test_2(self):\n        self.assertEqual(majority_vote([]), None)\n    def test_3(self):\n        self.assertEqual(majority_vote([7, 7, 7, 1]), 7)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-majority-vote-0b16b2110183", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 4.725}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_majority_vote", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `majority_vote`: Return the unique mode if it appears > n/2 else None. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def majority_vote(xs):\n if not xs: return None\n cand=None; v=0\n for x in xs:\n if v==0: cand=x\n v += 1 if x==cand else -1\n if xs.count(cand)>len(xs)//2: return cand\n return None", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\ntest_2 (test_solution.Test.test_2) ... ok\ntest_3 (test_solution.Test.test_3) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def polygon_area(pts):\n n=len(pts); s=0\n for i in range(n):\n x1,y1=pts[i]; x2,y2=pts[(i+1)%n]\n s+=x1*y2-x2*y1\n return abs(s)/2", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def polygon_area(pts):\n    n=len(pts); s=0\n    for i in range(n):\n        x1,y1=pts[i]; x2,y2=pts[(i+1)%n]\n        s+=x1*y2-x2*y1\n    return abs(s)/2\n", "test_solution.py": "import unittest\nfrom solution import polygon_area\nclass Test(unittest.TestCase):\n    def test_0(self):\n        self.assertEqual(polygon_area([(0, 0), (1, 0), (0, 1)]), 0.5)\n    def test_1(self):\n        self.assertEqual(polygon_area([(0, 0), (2, 0), (2, 2), (0, 2)]), 4.0)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-micro-polygon-area-1ac59e0e94f4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 4.95}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "micro_polygon_area", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `polygon_area`: Shoelace area of a simple polygon listed as (x,y) pairs, nonnegative. Use only the Python standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def polygon_area(pts):\n n=len(pts); s=0\n for i in range(n):\n x1,y1=pts[i]; x2,y2=pts[(i+1)%n]\n s+=x1*y2-x2*y1\n return abs(s)/2", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_0 (test_solution.Test.test_0) ... ok\ntest_1 (test_solution.Test.test_1) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def rle_encode(text):\n if not text:\n return \"\"\n out = []\n prev = text[0]\n count = 1\n for ch in text[1:]:\n if ch == prev:\n count += 1\n else:\n out.append(prev + str(count))\n prev = ch\n count = 1\n out.append(prev + str(count))\n return \"\".join(out)", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def rle_encode(text):\n    if not text:\n        return \"\"\n    out = []\n    prev = text[0]\n    count = 1\n    for ch in text[1:]:\n        if ch == prev:\n            count += 1\n        else:\n            out.append(prev + str(count))\n            prev = ch\n            count = 1\n    out.append(prev + str(count))\n    return \"\".join(out)\n", "test_solution.py": "import unittest\nfrom solution import rle_encode\n\nclass Test(unittest.TestCase):\n    def test_runs(self):\n        self.assertEqual(rle_encode(\"aaab\"), \"a3b1\")\n    def test_empty(self):\n        self.assertEqual(rle_encode(\"\"), \"\")\n    def test_single(self):\n        self.assertEqual(rle_encode(\"z\"), \"z1\")\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-rle-encode-runs-15e4782ecb3d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 5.075}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "rle_encode_runs", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `rle_encode(text: str) -> str`.\n\nReplace each maximal run of the same character with that character followed by\nthe run length in decimal. Empty input yields empty output. Example: `aaab` ->\n`a3b1`.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def rle_encode(text):\n if not text:\n return \"\"\n out = []\n prev = text[0]\n count = 1\n for ch in text[1:]:\n if ch == prev:\n count += 1\n else:\n out.append(prev + str(count))\n prev = ch\n count = 1\n out.append(prev + str(count))\n return \"\".join(out)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_runs (test_solution.Test.test_runs) ... ok\ntest_single (test_solution.Test.test_single) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def rle_encode(text):\n if not text:\n return \"\"\n out = []\n prev = text[0]\n count = 1\n for ch in text[1:]:\n if ch == prev:\n count += 1\n else:\n out.append(prev + str(count))\n prev = ch\n count = 1\n out.append(prev + str(count))\n return \"\".join(out)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_runs (test_solution.Test.test_runs) ... FAIL\ntest_single (test_solution.Test.test_single) ... ok\n\n======================================================================\nFAIL: test_runs (test_solution.Test.test_runs)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-rv1x77ao\\test_solution.py\", line 6, in test_runs\n    self.assertEqual(rle_encode(\"aaab\"), \"a3b1\")\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 'a1a1a2' != 'a3b1'\n- a1a1a2\n+ a3b1\n\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def rle_encode(text):\n    if not text:\n        return \"\"\n    out = []\n    prev = text[0]\n    count = 1\n    for ch in text[1:]:\n        if ch != prev:\n            count += 1\n        else:\n            out.append(prev + str(count))\n            prev = ch\n            count = 1\n    out.append(prev + str(count))\n    return \"\".join(out)\n", "test_solution.py": "import unittest\nfrom solution import rle_encode\n\nclass Test(unittest.TestCase):\n    def test_runs(self):\n        self.assertEqual(rle_encode(\"aaab\"), \"a3b1\")\n    def test_empty(self):\n        self.assertEqual(rle_encode(\"\"), \"\")\n    def test_single(self):\n        self.assertEqual(rle_encode(\"z\"), \"z1\")\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-rle-encode-runs-6e3efd099f6b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.975}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_runs (test_solution.Test.test_runs) ... FAIL\ntest_single (test_solution.Test.test_single) ... ok\n\n======================================================================\nFAIL: test_runs (test_solution.Test.test_runs)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-rv1x77ao\\test_solution.py\", line 6, in test_runs\n    self.assertEqual(rle_encode(\"aaab\"), \"a3b1\")\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 'a1a1a2' != 'a3b1'\n- a1a1a2\n+ a3b1\n\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "rle_encode_runs", "tests_passed_after_fix": 3, "topic": "algorithms"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `rle_encode(text: str) -> str`.\n\nReplace each maximal run of the same character with that character followed by\nthe run length in decimal. Empty input yields empty output. Example: `aaab` ->\n`a3b1`.\n\n--- solution.py (buggy) ---\ndef rle_encode(text):\n if not text:\n return \"\"\n out = []\n prev = text[0]\n count = 1\n for ch in text[1:]:\n if ch != prev:\n count += 1\n else:\n out.append(prev + str(count))\n prev = ch\n count = 1\n out.append(prev + str(count))\n return \"\".join(out)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import rle_encode\n\nclass Test(unittest.TestCase):\n def test_runs(self):\n self.assertEqual(rle_encode(\"aaab\"), \"a3b1\")\n def test_empty(self):\n self.assertEqual(rle_encode(\"\"), \"\")\n def test_single(self):\n self.assertEqual(rle_encode(\"z\"), \"z1\")\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_runs (test_solution.Test.test_runs) ... FAIL\ntest_single (test_solution.Test.test_single) ... ok\n\n======================================================================\nFAIL: test_runs (test_solution.Test.test_runs)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-rv1x77ao\\test_solution.py\", line 6, in test_runs\n self.assertEqual(rle_encode(\"aaab\"), \"a3b1\")\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 'a1a1a2' != 'a3b1'\n- a1a1a2\n+ a3b1\n\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def rle_encode(text):\n if not text:\n return \"\"\n out = []\n prev = text[0]\n count = 1\n for ch in text[1:]:\n if ch == prev:\n count += 1\n else:\n out.append(prev + str(count))\n prev = ch\n count = 1\n out.append(prev + str(count))\n return \"\".join(out)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_runs (test_solution.Test.test_runs) ... ok\ntest_single (test_solution.Test.test_single) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def max_overlap(intervals):\n events = []\n for start, end in intervals:\n events.append((start, 1))\n events.append((end, -1))\n events.sort(key=lambda item: (item[0], item[1]))\n current = 0\n best = 0\n for _, delta in events:\n current += delta\n if current > best:\n best = current\n return best", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def max_overlap(intervals):\n    events = []\n    for start, end in intervals:\n        events.append((start, 1))\n        events.append((end, -1))\n    events.sort(key=lambda item: (item[0], item[1]))\n    current = 0\n    best = 0\n    for _, delta in events:\n        current += delta\n        if current > best:\n            best = current\n    return best\n", "test_solution.py": "import unittest\nfrom solution import max_overlap\n\nclass Test(unittest.TestCase):\n    def test_overlap(self):\n        self.assertEqual(max_overlap([(0, 2), (1, 3), (2, 4)]), 2)\n    def test_empty(self):\n        self.assertEqual(max_overlap([]), 0)\n    def test_nested(self):\n        self.assertEqual(max_overlap([(0, 10), (1, 2), (3, 4)]), 2)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-interval-cover-count-71262dfa1abe", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.85}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "interval_cover_count", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `max_overlap(intervals) -> int`.\n\n`intervals` is a list of half-open [start, end) pairs of ints with start < end.\nReturn the maximum number of intervals that cover any single integer point.\nEmpty input is 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:51Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def max_overlap(intervals):\n events = []\n for start, end in intervals:\n events.append((start, 1))\n events.append((end, -1))\n events.sort(key=lambda item: (item[0], item[1]))\n current = 0\n best = 0\n for _, delta in events:\n current += delta\n if current > best:\n best = current\n return best", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_nested (test_solution.Test.test_nested) ... ok\ntest_overlap (test_solution.Test.test_overlap) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def split_csv_row(line):\n out = []\n field = []\n i = 0\n in_quotes = False\n while i < len(line):\n ch = line[i]\n if in_quotes:\n if ch == '\"':\n if i + 1 < len(line) and line[i + 1] == '\"':\n field.append('\"')\n i += 1\n else:\n in_quotes = False\n else:\n field.append(ch)\n else:\n if ch == '\"':\n in_quotes = True\n elif ch == \",\":\n out.append(\"\".join(field))\n field = []\n else:\n field.append(ch)\n i += 1\n out.append(\"\".join(field))\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def split_csv_row(line):\n    out = []\n    field = []\n    i = 0\n    in_quotes = False\n    while i < len(line):\n        ch = line[i]\n        if in_quotes:\n            if ch == '\"':\n                if i + 1 < len(line) and line[i + 1] == '\"':\n                    field.append('\"')\n                    i += 1\n                else:\n                    in_quotes = False\n            else:\n                field.append(ch)\n        else:\n            if ch == '\"':\n                in_quotes = True\n            elif ch == \",\":\n                out.append(\"\".join(field))\n                field = []\n            else:\n                field.append(ch)\n        i += 1\n    out.append(\"\".join(field))\n    return out\n", "test_solution.py": "import unittest\nfrom solution import split_csv_row\n\nclass Test(unittest.TestCase):\n    def test_plain(self):\n        self.assertEqual(split_csv_row(\"a,b,c\"), [\"a\", \"b\", \"c\"])\n    def test_quoted_comma(self):\n        self.assertEqual(split_csv_row('a,\"b,c\",d'), [\"a\", \"b,c\", \"d\"])\n    def test_escaped_quote(self):\n        self.assertEqual(split_csv_row('\"a\"\"b\"'), ['a\"b'])\n"}}, "topic": "parsing"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-csv-row-split-9686a8724178", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.975, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.675, "tests": 0.0, "total": 5.5}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "csv_row_split", "topic": "parsing"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `split_csv_row(line: str) -> list[str]`.\n\nSplit a single CSV row on commas. Double-quoted fields may contain commas.\nQuotes are escaped by doubling them. No newlines inside fields.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def split_csv_row(line):\n out = []\n field = []\n i = 0\n in_quotes = False\n while i < len(line):\n ch = line[i]\n if in_quotes:\n if ch == '\"':\n if i + 1 < len(line) and line[i + 1] == '\"':\n field.append('\"')\n i += 1\n else:\n in_quotes = False\n else:\n field.append(ch)\n else:\n if ch == '\"':\n in_quotes = True\n elif ch == \",\":\n out.append(\"\".join(field))\n field = []\n else:\n field.append(ch)\n i += 1\n out.append(\"\".join(field))\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_escaped_quote (test_solution.Test.test_escaped_quote) ... ok\ntest_plain (test_solution.Test.test_plain) ... ok\ntest_quoted_comma (test_solution.Test.test_quoted_comma) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def split_csv_row(line):\n out = []\n field = []\n i = 0\n in_quotes = False\n while i < len(line):\n ch = line[i]\n if in_quotes:\n if ch == '\"':\n if i + 1 < len(line) and line[i + 1] == '\"':\n field.append('\"')\n i += 1\n else:\n in_quotes = False\n else:\n field.append(ch)\n else:\n if ch == '\"':\n in_quotes = True\n elif ch == \",\":\n out.append(\"\".join(field))\n field = []\n else:\n field.append(ch)\n i += 1\n out.append(\"\".join(field))\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_escaped_quote (test_solution.Test.test_escaped_quote) ... FAIL\ntest_plain (test_solution.Test.test_plain) ... ok\ntest_quoted_comma (test_solution.Test.test_quoted_comma) ... FAIL\n\n======================================================================\nFAIL: test_escaped_quote (test_solution.Test.test_escaped_quote)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7zjw3zko\\test_solution.py\", line 10, in test_escaped_quote\n    self.assertEqual(split_csv_row('\"a\"\"b\"'), ['a\"b'])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['\"\"\"'] != ['a\"b']\n\nFirst differing element 0:\n'\"\"\"'\n'a\"b'\n\n- ['\"\"\"']\n+ ['a\"b']\n\n======================================================================\nFAIL: test_quoted_comma (test_solution.Test.test_quoted_comma)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7zjw3zko\\test_solution.py\", line 8, in test_quoted_comma\n    self.assertEqual(split_csv_row('a,\"b,c\",d'), [\"a\", \"b,c\", \"d\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['a', '', 'cd'] != ['a', 'b,c', 'd']\n\nFirst differing element 1:\n''\n'b,c'\n\n- ['a', '', 'cd']\n?            -\n\n+ ['a', 'b,c', 'd']\n?        +++\n\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "def split_csv_row(line):\n    out = []\n    field = []\n    i = 0\n    in_quotes = False\n    while i < len(line):\n        ch = line[i]\n        if in_quotes:\n            if ch != '\"':\n                if i + 1 < len(line) and line[i + 1] == '\"':\n                    field.append('\"')\n                    i += 1\n                else:\n                    in_quotes = False\n            else:\n                field.append(ch)\n        else:\n            if ch == '\"':\n                in_quotes = True\n            elif ch == \",\":\n                out.append(\"\".join(field))\n                field = []\n            else:\n                field.append(ch)\n        i += 1\n    out.append(\"\".join(field))\n    return out\n", "test_solution.py": "import unittest\nfrom solution import split_csv_row\n\nclass Test(unittest.TestCase):\n    def test_plain(self):\n        self.assertEqual(split_csv_row(\"a,b,c\"), [\"a\", \"b\", \"c\"])\n    def test_quoted_comma(self):\n        self.assertEqual(split_csv_row('a,\"b,c\",d'), [\"a\", \"b,c\", \"d\"])\n    def test_escaped_quote(self):\n        self.assertEqual(split_csv_row('\"a\"\"b\"'), ['a\"b'])\n"}}, "topic": "parsing"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-csv-row-split-98235f9dbc67", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.975, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.275}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_escaped_quote (test_solution.Test.test_escaped_quote) ... FAIL\ntest_plain (test_solution.Test.test_plain) ... ok\ntest_quoted_comma (test_solution.Test.test_quoted_comma) ... FAIL\n\n======================================================================\nFAIL: test_escaped_quote (test_solution.Test.test_escaped_quote)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7zjw3zko\\test_solution.py\", line 10, in test_escaped_quote\n    self.assertEqual(split_csv_row('\"a\"\"b\"'), ['a\"b'])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['\"\"\"'] != ['a\"b']\n\nFirst differing element 0:\n'\"\"\"'\n'a\"b'\n\n- ['\"\"\"']\n+ ['a\"b']\n\n======================================================================\nFAIL: test_quoted_comma (test_solution.Test.test_quoted_comma)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7zjw3zko\\test_solution.py\", line 8, in test_quoted_comma\n    self.assertEqual(split_csv_row('a,\"b,c\",d'), [\"a\", \"b,c\", \"d\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['a', '', 'cd'] != ['a', 'b,c', 'd']\n\nFirst differing element 1:\n''\n'b,c'\n\n- ['a', '', 'cd']\n?            -\n\n+ ['a', 'b,c', 'd']\n?        +++\n\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "csv_row_split", "tests_passed_after_fix": 3, "topic": "parsing"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `split_csv_row(line: str) -> list[str]`.\n\nSplit a single CSV row on commas. Double-quoted fields may contain commas.\nQuotes are escaped by doubling them. No newlines inside fields.\n\n--- solution.py (buggy) ---\ndef split_csv_row(line):\n out = []\n field = []\n i = 0\n in_quotes = False\n while i < len(line):\n ch = line[i]\n if in_quotes:\n if ch != '\"':\n if i + 1 < len(line) and line[i + 1] == '\"':\n field.append('\"')\n i += 1\n else:\n in_quotes = False\n else:\n field.append(ch)\n else:\n if ch == '\"':\n in_quotes = True\n elif ch == \",\":\n out.append(\"\".join(field))\n field = []\n else:\n field.append(ch)\n i += 1\n out.append(\"\".join(field))\n return out\n\n--- test_solution.py ---\nimport unittest\nfrom solution import split_csv_row\n\nclass Test(unittest.TestCase):\n def test_plain(self):\n self.assertEqual(split_csv_row(\"a,b,c\"), [\"a\", \"b\", \"c\"])\n def test_quoted_comma(self):\n self.assertEqual(split_csv_row('a,\"b,c\",d'), [\"a\", \"b,c\", \"d\"])\n def test_escaped_quote(self):\n self.assertEqual(split_csv_row('\"a\"\"b\"'), ['a\"b'])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_escaped_quote (test_solution.Test.test_escaped_quote) ... FAIL\ntest_plain (test_solution.Test.test_plain) ... ok\ntest_quoted_comma (test_solution.Test.test_quoted_comma) ... FAIL\n\n======================================================================\nFAIL: test_escaped_quote (test_solution.Test.test_escaped_quote)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7zjw3zko\\test_solution.py\", line 10, in test_escaped_quote\n self.assertEqual(split_csv_row('\"a\"\"b\"'), ['a\"b'])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['\"\"\"'] != ['a\"b']\n\nFirst differing element 0:\n'\"\"\"'\n'a\"b'\n\n- ['\"\"\"']\n+ ['a\"b']\n\n======================================================================\nFAIL: test_quoted_comma (test_solution.Test.test_quoted_comma)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7zjw3zko\\test_solution.py\", line 8, in test_quoted_comma\n self.assertEqual(split_csv_row('a,\"b,c\",d'), [\"a\", \"b,c\", \"d\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['a', '', 'cd'] != ['a', 'b,c', 'd']\n\nFirst differing element 1:\n''\n'b,c'\n\n- ['a', '', 'cd']\n? -\n\n+", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def split_csv_row(line):\n out = []\n field = []\n i = 0\n in_quotes = False\n while i < len(line):\n ch = line[i]\n if in_quotes:\n if ch == '\"':\n if i + 1 < len(line) and line[i + 1] == '\"':\n field.append('\"')\n i += 1\n else:\n in_quotes = False\n else:\n field.append(ch)\n else:\n if ch == '\"':\n in_quotes = True\n elif ch == \",\":\n out.append(\"\".join(field))\n field = []\n else:\n field.append(ch)\n i += 1\n out.append(\"\".join(field))\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_escaped_quote (test_solution.Test.test_escaped_quote) ... ok\ntest_plain (test_solution.Test.test_plain) ... ok\ntest_quoted_comma (test_solution.Test.test_quoted_comma) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "import heapq\n\ndef topo_order(nodes, edges):\n remaining = {node: 0 for node in nodes}\n adj = {node: [] for node in nodes}\n for src, dst in edges:\n adj[src].append(dst)\n remaining[dst] += 1\n heap = [node for node, deg in remaining.items() if deg == 0]\n heapq.heapify(heap)\n order = []\n while heap:\n node = heapq.heappop(heap)\n order.append(node)\n for nxt in adj[node]:\n remaining[nxt] -= 1\n if remaining[nxt] == 0:\n heapq.heappush(heap, nxt)\n if len(order) != len(nodes):\n return None\n return order", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import heapq\n\ndef topo_order(nodes, edges):\n    remaining = {node: 0 for node in nodes}\n    adj = {node: [] for node in nodes}\n    for src, dst in edges:\n        adj[src].append(dst)\n        remaining[dst] += 1\n    heap = [node for node, deg in remaining.items() if deg == 0]\n    heapq.heapify(heap)\n    order = []\n    while heap:\n        node = heapq.heappop(heap)\n        order.append(node)\n        for nxt in adj[node]:\n            remaining[nxt] -= 1\n            if remaining[nxt] == 0:\n                heapq.heappush(heap, nxt)\n    if len(order) != len(nodes):\n        return None\n    return order\n", "test_solution.py": "import unittest\nfrom solution import topo_order\n\nclass Test(unittest.TestCase):\n    def test_line(self):\n        self.assertEqual(topo_order([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    def test_cycle(self):\n        self.assertIsNone(topo_order([\"a\", \"b\"], [(\"a\", \"b\"), (\"b\", \"a\")]))\n    def test_lex(self):\n        self.assertEqual(topo_order([\"b\", \"a\"], []), [\"a\", \"b\"])\n"}}, "topic": "graphs"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-topo-order-kahn-106484a8ca61", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.825, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.275, "tests": 0.0, "total": 5.325}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "topo_order_kahn", "topic": "graphs"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `topo_order(nodes, edges) -> list`.\n\n`nodes` is a list of unique hashable ids. `edges` is a list of (src, dst)\ndirected edges meaning src must come before dst. Return one valid topological\norder. If the graph has a cycle, return None. Prefer the lexicographically\nsmallest node whenever several have indegree 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import heapq\n\ndef topo_order(nodes, edges):\n remaining = {node: 0 for node in nodes}\n adj = {node: [] for node in nodes}\n for src, dst in edges:\n adj[src].append(dst)\n remaining[dst] += 1\n heap = [node for node, deg in remaining.items() if deg == 0]\n heapq.heapify(heap)\n order = []\n while heap:\n node = heapq.heappop(heap)\n order.append(node)\n for nxt in adj[node]:\n remaining[nxt] -= 1\n if remaining[nxt] == 0:\n heapq.heappush(heap, nxt)\n if len(order) != len(nodes):\n return None\n return order", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_cycle (test_solution.Test.test_cycle) ... ok\ntest_lex (test_solution.Test.test_lex) ... ok\ntest_line (test_solution.Test.test_line) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "import heapq\n\ndef topo_order(nodes, edges):\n remaining = {node: 0 for node in nodes}\n adj = {node: [] for node in nodes}\n for src, dst in edges:\n adj[src].append(dst)\n remaining[dst] += 1\n heap = [node for node, deg in remaining.items() if deg == 0]\n heapq.heapify(heap)\n order = []\n while heap:\n node = heapq.heappop(heap)\n order.append(node)\n for nxt in adj[node]:\n remaining[nxt] -= 1\n if remaining[nxt] == 0:\n heapq.heappush(heap, nxt)\n if len(order) != len(nodes):\n return None\n return order", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_cycle (test_solution.Test.test_cycle) ... ok\ntest_lex (test_solution.Test.test_lex) ... FAIL\ntest_line (test_solution.Test.test_line) ... FAIL\n\n======================================================================\nFAIL: test_lex (test_solution.Test.test_lex)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-evgujc39\\test_solution.py\", line 10, in test_lex\n    self.assertEqual(topo_order([\"b\", \"a\"], []), [\"a\", \"b\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: None != ['a', 'b']\n\n======================================================================\nFAIL: test_line (test_solution.Test.test_line)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-evgujc39\\test_solution.py\", line 6, in test_line\n    self.assertEqual(topo_order([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['b', 'c', 'c'] != ['a', 'b', 'c']\n\nFirst differing element 0:\n'b'\n'a'\n\n- ['b', 'c', 'c']\n+ ['a', 'b', 'c']\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "import heapq\n\ndef topo_order(nodes, edges):\n    remaining = {node: 0 for node in nodes}\n    adj = {node: [] for node in nodes}\n    for src, dst in edges:\n        adj[src].append(dst)\n        remaining[dst] += 1\n    heap = [node for node, deg in remaining.items() if deg != 0]\n    heapq.heapify(heap)\n    order = []\n    while heap:\n        node = heapq.heappop(heap)\n        order.append(node)\n        for nxt in adj[node]:\n            remaining[nxt] -= 1\n            if remaining[nxt] == 0:\n                heapq.heappush(heap, nxt)\n    if len(order) != len(nodes):\n        return None\n    return order\n", "test_solution.py": "import unittest\nfrom solution import topo_order\n\nclass Test(unittest.TestCase):\n    def test_line(self):\n        self.assertEqual(topo_order([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    def test_cycle(self):\n        self.assertIsNone(topo_order([\"a\", \"b\"], [(\"a\", \"b\"), (\"b\", \"a\")]))\n    def test_lex(self):\n        self.assertEqual(topo_order([\"b\", \"a\"], []), [\"a\", \"b\"])\n"}}, "topic": "graphs"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-topo-order-kahn-657275422ba4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.825, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.125}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_cycle (test_solution.Test.test_cycle) ... ok\ntest_lex (test_solution.Test.test_lex) ... FAIL\ntest_line (test_solution.Test.test_line) ... FAIL\n\n======================================================================\nFAIL: test_lex (test_solution.Test.test_lex)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-evgujc39\\test_solution.py\", line 10, in test_lex\n    self.assertEqual(topo_order([\"b\", \"a\"], []), [\"a\", \"b\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: None != ['a', 'b']\n\n======================================================================\nFAIL: test_line (test_solution.Test.test_line)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-evgujc39\\test_solution.py\", line 6, in test_line\n    self.assertEqual(topo_order([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['b', 'c', 'c'] != ['a', 'b', 'c']\n\nFirst differing element 0:\n'b'\n'a'\n\n- ['b', 'c', 'c']\n+ ['a', 'b', 'c']\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "topo_order_kahn", "tests_passed_after_fix": 3, "topic": "graphs"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `topo_order(nodes, edges) -> list`.\n\n`nodes` is a list of unique hashable ids. `edges` is a list of (src, dst)\ndirected edges meaning src must come before dst. Return one valid topological\norder. If the graph has a cycle, return None. Prefer the lexicographically\nsmallest node whenever several have indegree 0.\n\n--- solution.py (buggy) ---\nimport heapq\n\ndef topo_order(nodes, edges):\n remaining = {node: 0 for node in nodes}\n adj = {node: [] for node in nodes}\n for src, dst in edges:\n adj[src].append(dst)\n remaining[dst] += 1\n heap = [node for node, deg in remaining.items() if deg != 0]\n heapq.heapify(heap)\n order = []\n while heap:\n node = heapq.heappop(heap)\n order.append(node)\n for nxt in adj[node]:\n remaining[nxt] -= 1\n if remaining[nxt] == 0:\n heapq.heappush(heap, nxt)\n if len(order) != len(nodes):\n return None\n return order\n\n--- test_solution.py ---\nimport unittest\nfrom solution import topo_order\n\nclass Test(unittest.TestCase):\n def test_line(self):\n self.assertEqual(topo_order([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n def test_cycle(self):\n self.assertIsNone(topo_order([\"a\", \"b\"], [(\"a\", \"b\"), (\"b\", \"a\")]))\n def test_lex(self):\n self.assertEqual(topo_order([\"b\", \"a\"], []), [\"a\", \"b\"])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_cycle (test_solution.Test.test_cycle) ... ok\ntest_lex (test_solution.Test.test_lex) ... FAIL\ntest_line (test_solution.Test.test_line) ... FAIL\n\n======================================================================\nFAIL: test_lex (test_solution.Test.test_lex)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-evgujc39\\test_solution.py\", line 10, in test_lex\n self.assertEqual(topo_order([\"b\", \"a\"], []), [\"a\", \"b\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: None != ['a', 'b']\n\n======================================================================\nFAIL: test_line (test_solution.Test.test_line)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-evgujc39\\test_solution.py\", line 6, in test_line\n self.assertEqual(topo_order([\"a\", \"b\", \"c\"], [(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['b', 'c', 'c'] != ['a', 'b', 'c']\n\nFirst differing element 0:\n'b'\n'a'\n\n- ['b', 'c', 'c']\n+ ['a', 'b', 'c']\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (fa", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import heapq\n\ndef topo_order(nodes, edges):\n remaining = {node: 0 for node in nodes}\n adj = {node: [] for node in nodes}\n for src, dst in edges:\n adj[src].append(dst)\n remaining[dst] += 1\n heap = [node for node, deg in remaining.items() if deg == 0]\n heapq.heapify(heap)\n order = []\n while heap:\n node = heapq.heappop(heap)\n order.append(node)\n for nxt in adj[node]:\n remaining[nxt] -= 1\n if remaining[nxt] == 0:\n heapq.heappush(heap, nxt)\n if len(order) != len(nodes):\n return None\n return order", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_cycle (test_solution.Test.test_cycle) ... ok\ntest_lex (test_solution.Test.test_lex) ... ok\ntest_line (test_solution.Test.test_line) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def popcount_bytes(data):\n return sum(bin(byte).count(\"1\") for byte in data)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def popcount_bytes(data):\n    return sum(bin(byte).count(\"1\") for byte in data)\n", "test_solution.py": "import unittest\nfrom solution import popcount_bytes\n\nclass Test(unittest.TestCase):\n    def test_zero(self):\n        self.assertEqual(popcount_bytes(bytes([0, 0])), 0)\n    def test_ff(self):\n        self.assertEqual(popcount_bytes(bytes([255])), 8)\n    def test_mixed(self):\n        self.assertEqual(popcount_bytes(bytes([0x0F, 0xF0])), 8)\n"}}, "topic": "bit_twiddling"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-bitcount-bytes-7c9544990e0e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.5500000000000003}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "bitcount_bytes", "topic": "bit_twiddling"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `popcount_bytes(data: bytes) -> int`.\n\nReturn the number of 1-bits in the byte string.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def popcount_bytes(data):\n return sum(bin(byte).count(\"1\") for byte in data)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ff (test_solution.Test.test_ff) ... ok\ntest_mixed (test_solution.Test.test_mixed) ... ok\ntest_zero (test_solution.Test.test_zero) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def pointer_get(doc, pointer):\n if pointer == \"\":\n return doc\n if not pointer.startswith(\"/\"):\n raise KeyError(pointer)\n current = doc\n for raw in pointer.split(\"/\")[1:]:\n token = raw.replace(\"~1\", \"/\").replace(\"~0\", \"~\")\n if isinstance(current, list):\n current = current[int(token)]\n else:\n if token not in current:\n raise KeyError(token)\n current = current[token]\n return current", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def pointer_get(doc, pointer):\n    if pointer == \"\":\n        return doc\n    if not pointer.startswith(\"/\"):\n        raise KeyError(pointer)\n    current = doc\n    for raw in pointer.split(\"/\")[1:]:\n        token = raw.replace(\"~1\", \"/\").replace(\"~0\", \"~\")\n        if isinstance(current, list):\n            current = current[int(token)]\n        else:\n            if token not in current:\n                raise KeyError(token)\n            current = current[token]\n    return current\n", "test_solution.py": "import unittest\nfrom solution import pointer_get\n\nclass Test(unittest.TestCase):\n    def test_root(self):\n        self.assertEqual(pointer_get({\"a\": 1}, \"\"), {\"a\": 1})\n    def test_nested(self):\n        self.assertEqual(pointer_get({\"a\": {\"b\": 2}}, \"/a/b\"), 2)\n    def test_escape(self):\n        self.assertEqual(pointer_get({\"a/b\": 3}, \"/a~1b\"), 3)\n"}}, "topic": "data"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-json-pointer-get-2c52b1cf5ce0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.95, "tests": 0.0, "total": 5.35}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "json_pointer_get", "topic": "data"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `pointer_get(doc, pointer: str)`.\n\n`doc` is nested dict/list JSON-like data. `pointer` is a JSON Pointer\n(RFC 6901) starting with `/` or empty for the whole document. Support `~0`\nand `~1` escapes. Raise KeyError on missing keys or indexes.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def pointer_get(doc, pointer):\n if pointer == \"\":\n return doc\n if not pointer.startswith(\"/\"):\n raise KeyError(pointer)\n current = doc\n for raw in pointer.split(\"/\")[1:]:\n token = raw.replace(\"~1\", \"/\").replace(\"~0\", \"~\")\n if isinstance(current, list):\n current = current[int(token)]\n else:\n if token not in current:\n raise KeyError(token)\n current = current[token]\n return current", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_escape (test_solution.Test.test_escape) ... ok\ntest_nested (test_solution.Test.test_nested) ... ok\ntest_root (test_solution.Test.test_root) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def pointer_get(doc, pointer):\n if pointer == \"\":\n return doc\n if not pointer.startswith(\"/\"):\n raise KeyError(pointer)\n current = doc\n for raw in pointer.split(\"/\")[1:]:\n token = raw.replace(\"~1\", \"/\").replace(\"~0\", \"~\")\n if isinstance(current, list):\n current = current[int(token)]\n else:\n if token not in current:\n raise KeyError(token)\n current = current[token]\n return current", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_escape (test_solution.Test.test_escape) ... FAIL\ntest_nested (test_solution.Test.test_nested) ... FAIL\ntest_root (test_solution.Test.test_root) ... ERROR\n\n======================================================================\nERROR: test_root (test_solution.Test.test_root)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-27wuvki4\\test_solution.py\", line 6, in test_root\n    self.assertEqual(pointer_get({\"a\": 1}, \"\"), {\"a\": 1})\n                     ~~~~~~~~~~~^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-27wuvki4\\solution.py\", line 5, in pointer_get\n    raise KeyError(pointer)\nKeyError: ''\n\n======================================================================\nFAIL: test_escape (test_solution.Test.test_escape)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-27wuvki4\\test_solution.py\", line 10, in test_escape\n    self.assertEqual(pointer_get({\"a/b\": 3}, \"/a~1b\"), 3)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: {'a/b': 3} != 3\n\n======================================================================\nFAIL: test_nested (test_solution.Test.test_nested)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-27wuvki4\\test_solution.py\", line 8, in test_nested\n    self.assertEqual(pointer_get({\"a\": {\"b\": 2}}, \"/a/b\"), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: {'a': {'b': 2}} != 2\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2, errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def pointer_get(doc, pointer):\n    if pointer != \"\":\n        return doc\n    if not pointer.startswith(\"/\"):\n        raise KeyError(pointer)\n    current = doc\n    for raw in pointer.split(\"/\")[1:]:\n        token = raw.replace(\"~1\", \"/\").replace(\"~0\", \"~\")\n        if isinstance(current, list):\n            current = current[int(token)]\n        else:\n            if token not in current:\n                raise KeyError(token)\n            current = current[token]\n    return current\n", "test_solution.py": "import unittest\nfrom solution import pointer_get\n\nclass Test(unittest.TestCase):\n    def test_root(self):\n        self.assertEqual(pointer_get({\"a\": 1}, \"\"), {\"a\": 1})\n    def test_nested(self):\n        self.assertEqual(pointer_get({\"a\": {\"b\": 2}}, \"/a/b\"), 2)\n    def test_escape(self):\n        self.assertEqual(pointer_get({\"a/b\": 3}, \"/a~1b\"), 3)\n"}}, "topic": "data"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-json-pointer-get-2c49798dbdf8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.975}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 2, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_escape (test_solution.Test.test_escape) ... FAIL\ntest_nested (test_solution.Test.test_nested) ... FAIL\ntest_root (test_solution.Test.test_root) ... ERROR\n\n======================================================================\nERROR: test_root (test_solution.Test.test_root)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-27wuvki4\\test_solution.py\", line 6, in test_root\n    self.assertEqual(pointer_get({\"a\": 1}, \"\"), {\"a\": 1})\n                     ~~~~~~~~~~~^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-27wuvki4\\solution.py\", line 5, in pointer_get\n    raise KeyError(pointer)\nKeyError: ''\n\n======================================================================\nFAIL: test_escape (test_solution.Test.test_escape)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-27wuvki4\\test_solution.py\", line 10, in test_escape\n    self.assertEqual(pointer_get({\"a/b\": 3}, \"/a~1b\"), 3)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: {'a/b': 3} != 3\n\n======================================================================\nFAIL: test_nested (test_solution.Test.test_nested)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-27wuvki4\\test_solution.py\", line 8, in test_nested\n    self.assertEqual(pointer_get({\"a\": {\"b\": 2}}, \"/a/b\"), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: {'a': {'b': 2}} != 2\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2, errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 3, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "json_pointer_get", "tests_passed_after_fix": 3, "topic": "data"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `pointer_get(doc, pointer: str)`.\n\n`doc` is nested dict/list JSON-like data. `pointer` is a JSON Pointer\n(RFC 6901) starting with `/` or empty for the whole document. Support `~0`\nand `~1` escapes. Raise KeyError on missing keys or indexes.\n\n--- solution.py (buggy) ---\ndef pointer_get(doc, pointer):\n if pointer != \"\":\n return doc\n if not pointer.startswith(\"/\"):\n raise KeyError(pointer)\n current = doc\n for raw in pointer.split(\"/\")[1:]:\n token = raw.replace(\"~1\", \"/\").replace(\"~0\", \"~\")\n if isinstance(current, list):\n current = current[int(token)]\n else:\n if token not in current:\n raise KeyError(token)\n current = current[token]\n return current\n\n--- test_solution.py ---\nimport unittest\nfrom solution import pointer_get\n\nclass Test(unittest.TestCase):\n def test_root(self):\n self.assertEqual(pointer_get({\"a\": 1}, \"\"), {\"a\": 1})\n def test_nested(self):\n self.assertEqual(pointer_get({\"a\": {\"b\": 2}}, \"/a/b\"), 2)\n def test_escape(self):\n self.assertEqual(pointer_get({\"a/b\": 3}, \"/a~1b\"), 3)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_escape (test_solution.Test.test_escape) ... FAIL\ntest_nested (test_solution.Test.test_nested) ... FAIL\ntest_root (test_solution.Test.test_root) ... ERROR\n\n======================================================================\nERROR: test_root (test_solution.Test.test_root)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-27wuvki4\\test_solution.py\", line 6, in test_root\n self.assertEqual(pointer_get({\"a\": 1}, \"\"), {\"a\": 1})\n ~~~~~~~~~~~^^^^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-27wuvki4\\solution.py\", line 5, in pointer_get\n raise KeyError(pointer)\nKeyError: ''\n\n======================================================================\nFAIL: test_escape (test_solution.Test.test_escape)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-27wuvki4\\test_solution.py\", line 10, in test_escape\n self.assertEqual(pointer_get({\"a/b\": 3}, \"/a~1b\"), 3)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: {'a/b': 3} != 3\n\n======================================================================\nFAIL: test_nested (test_solution.Test.test_nested)\n----------------------------------------", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def pointer_get(doc, pointer):\n if pointer == \"\":\n return doc\n if not pointer.startswith(\"/\"):\n raise KeyError(pointer)\n current = doc\n for raw in pointer.split(\"/\")[1:]:\n token = raw.replace(\"~1\", \"/\").replace(\"~0\", \"~\")\n if isinstance(current, list):\n current = current[int(token)]\n else:\n if token not in current:\n raise KeyError(token)\n current = current[token]\n return current", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_escape (test_solution.Test.test_escape) ... ok\ntest_nested (test_solution.Test.test_nested) ... ok\ntest_root (test_solution.Test.test_root) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "import datetime\n\ndef weekday_name(year, month, day):\n names = [\"Monday\", \"Tuesday\", \"Wednesday\", \"Thursday\", \"Friday\", \"Saturday\", \"Sunday\"]\n return names[datetime.date(year, month, day).weekday()]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import datetime\n\ndef weekday_name(year, month, day):\n    names = [\"Monday\", \"Tuesday\", \"Wednesday\", \"Thursday\", \"Friday\", \"Saturday\", \"Sunday\"]\n    return names[datetime.date(year, month, day).weekday()]\n", "test_solution.py": "import unittest\nfrom solution import weekday_name\n\nclass Test(unittest.TestCase):\n    def test_known(self):\n        self.assertEqual(weekday_name(2026, 8, 18), \"Tuesday\")\n    def test_unix(self):\n        self.assertEqual(weekday_name(1970, 1, 1), \"Thursday\")\n"}}, "topic": "dates"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-weekday-zeller-3dcecbe1c4b8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.675, "tests": 0.0, "total": 3.7750000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "weekday_zeller", "topic": "dates"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `weekday_name(year, month, day) -> str`.\n\nReturn the English weekday name (Monday..Sunday) for a Gregorian date in\nthe proleptic Gregorian calendar. Use datetime.date in the standard library.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import datetime\n\ndef weekday_name(year, month, day):\n names = [\"Monday\", \"Tuesday\", \"Wednesday\", \"Thursday\", \"Friday\", \"Saturday\", \"Sunday\"]\n return names[datetime.date(year, month, day).weekday()]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_known (test_solution.Test.test_known) ... ok\ntest_unix (test_solution.Test.test_unix) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def group_by(items, key):\n order = []\n groups = {}\n for item in items:\n k = key(item)\n if k not in groups:\n groups[k] = []\n order.append(k)\n groups[k].append(item)\n return [(k, groups[k]) for k in order]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def group_by(items, key):\n    order = []\n    groups = {}\n    for item in items:\n        k = key(item)\n        if k not in groups:\n            groups[k] = []\n            order.append(k)\n        groups[k].append(item)\n    return [(k, groups[k]) for k in order]\n", "test_solution.py": "import unittest\nfrom solution import group_by\n\nclass Test(unittest.TestCase):\n    def test_order(self):\n        rows = [\"ax\", \"by\", \"az\"]\n        self.assertEqual(\n            group_by(rows, lambda s: s[0]),\n            [(\"a\", [\"ax\", \"az\"]), (\"b\", [\"by\"])],\n        )\n    def test_empty(self):\n        self.assertEqual(group_by([], lambda x: x), [])\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-stable-group-by-7cf518912128", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 4.050000000000001}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "stable_group_by", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `group_by(items, key) -> list[tuple]`.\n\n`key` is a function. Return a list of (key_value, group_list) in the order\nkeys first appear. Items in each group keep their original order.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def group_by(items, key):\n order = []\n groups = {}\n for item in items:\n k = key(item)\n if k not in groups:\n groups[k] = []\n order.append(k)\n groups[k].append(item)\n return [(k, groups[k]) for k in order]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_order (test_solution.Test.test_order) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "from collections import deque\n\ndef hops(graph, start, goal):\n if start == goal:\n return 0\n seen = {start}\n q = deque([(start, 0)])\n while q:\n node, dist = q.popleft()\n for nxt in graph.get(node, []):\n if nxt in seen:\n continue\n if nxt == goal:\n return dist + 1\n seen.add(nxt)\n q.append((nxt, dist + 1))\n return -1", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import deque\n\ndef hops(graph, start, goal):\n    if start == goal:\n        return 0\n    seen = {start}\n    q = deque([(start, 0)])\n    while q:\n        node, dist = q.popleft()\n        for nxt in graph.get(node, []):\n            if nxt in seen:\n                continue\n            if nxt == goal:\n                return dist + 1\n            seen.add(nxt)\n            q.append((nxt, dist + 1))\n    return -1\n", "test_solution.py": "import unittest\nfrom solution import hops\n\nclass Test(unittest.TestCase):\n    def test_path(self):\n        g = {\"a\": [\"b\"], \"b\": [\"c\"], \"c\": []}\n        self.assertEqual(hops(g, \"a\", \"c\"), 2)\n    def test_self(self):\n        self.assertEqual(hops({\"x\": []}, \"x\", \"x\"), 0)\n    def test_missing(self):\n        self.assertEqual(hops({\"a\": [\"b\"], \"b\": []}, \"a\", \"z\"), -1)\n"}}, "topic": "graphs"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-bfs-hops-e80e7bd6d20f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.75, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.925, "tests": 0.0, "total": 5.275}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "bfs_hops", "topic": "graphs"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `hops(graph, start, goal) -> int`.\n\n`graph` maps a node to a list of neighbors (undirected: you still only follow\nlisted edges). Return the fewest edges from start to goal, or -1 if unreachable.\nNodes are hashable.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import deque\n\ndef hops(graph, start, goal):\n if start == goal:\n return 0\n seen = {start}\n q = deque([(start, 0)])\n while q:\n node, dist = q.popleft()\n for nxt in graph.get(node, []):\n if nxt in seen:\n continue\n if nxt == goal:\n return dist + 1\n seen.add(nxt)\n q.append((nxt, dist + 1))\n return -1", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "algorithm_design", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_missing (test_solution.Test.test_missing) ... ok\ntest_path (test_solution.Test.test_path) ... ok\ntest_self (test_solution.Test.test_self) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "from collections import deque\n\ndef hops(graph, start, goal):\n if start == goal:\n return 0\n seen = {start}\n q = deque([(start, 0)])\n while q:\n node, dist = q.popleft()\n for nxt in graph.get(node, []):\n if nxt in seen:\n continue\n if nxt == goal:\n return dist + 1\n seen.add(nxt)\n q.append((nxt, dist + 1))\n return -1", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_missing (test_solution.Test.test_missing) ... ok\ntest_path (test_solution.Test.test_path) ... FAIL\ntest_self (test_solution.Test.test_self) ... FAIL\n\n======================================================================\nFAIL: test_path (test_solution.Test.test_path)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-60fbx36g\\test_solution.py\", line 7, in test_path\n    self.assertEqual(hops(g, \"a\", \"c\"), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -1 != 2\n\n======================================================================\nFAIL: test_self (test_solution.Test.test_self)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-60fbx36g\\test_solution.py\", line 9, in test_self\n    self.assertEqual(hops({\"x\": []}, \"x\", \"x\"), 0)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -1 != 0\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "from collections import deque\n\ndef hops(graph, start, goal):\n    seen = {start}\n    q = deque([(start, 0)])\n    while q:\n        node, dist = q.popleft()\n        for nxt in graph.get(node, []):\n            if nxt in seen:\n                continue\n            seen.add(nxt)\n            q.append((nxt, dist + 1))\n    return -1\n", "test_solution.py": "import unittest\nfrom solution import hops\n\nclass Test(unittest.TestCase):\n    def test_path(self):\n        g = {\"a\": [\"b\"], \"b\": [\"c\"], \"c\": []}\n        self.assertEqual(hops(g, \"a\", \"c\"), 2)\n    def test_self(self):\n        self.assertEqual(hops({\"x\": []}, \"x\", \"x\"), 0)\n    def test_missing(self):\n        self.assertEqual(hops({\"a\": [\"b\"], \"b\": []}, \"a\", \"z\"), -1)\n"}}, "topic": "graphs"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-bfs-hops-a185c8ae83fd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.65, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.95}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_missing (test_solution.Test.test_missing) ... ok\ntest_path (test_solution.Test.test_path) ... FAIL\ntest_self (test_solution.Test.test_self) ... FAIL\n\n======================================================================\nFAIL: test_path (test_solution.Test.test_path)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-60fbx36g\\test_solution.py\", line 7, in test_path\n    self.assertEqual(hops(g, \"a\", \"c\"), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -1 != 2\n\n======================================================================\nFAIL: test_self (test_solution.Test.test_self)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-60fbx36g\\test_solution.py\", line 9, in test_self\n    self.assertEqual(hops({\"x\": []}, \"x\", \"x\"), 0)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -1 != 0\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "bfs_hops", "tests_passed_after_fix": 3, "topic": "graphs"}, "natural_language": "en", "observations": ["Never returns when start equals goal and never checks the neighbor against goal."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `hops(graph, start, goal) -> int`.\n\n`graph` maps a node to a list of neighbors (undirected: you still only follow\nlisted edges). Return the fewest edges from start to goal, or -1 if unreachable.\nNodes are hashable.\n\n--- solution.py (buggy) ---\nfrom collections import deque\n\ndef hops(graph, start, goal):\n seen = {start}\n q = deque([(start, 0)])\n while q:\n node, dist = q.popleft()\n for nxt in graph.get(node, []):\n if nxt in seen:\n continue\n seen.add(nxt)\n q.append((nxt, dist + 1))\n return -1\n\n--- test_solution.py ---\nimport unittest\nfrom solution import hops\n\nclass Test(unittest.TestCase):\n def test_path(self):\n g = {\"a\": [\"b\"], \"b\": [\"c\"], \"c\": []}\n self.assertEqual(hops(g, \"a\", \"c\"), 2)\n def test_self(self):\n self.assertEqual(hops({\"x\": []}, \"x\", \"x\"), 0)\n def test_missing(self):\n self.assertEqual(hops({\"a\": [\"b\"], \"b\": []}, \"a\", \"z\"), -1)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_missing (test_solution.Test.test_missing) ... ok\ntest_path (test_solution.Test.test_path) ... FAIL\ntest_self (test_solution.Test.test_self) ... FAIL\n\n======================================================================\nFAIL: test_path (test_solution.Test.test_path)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-60fbx36g\\test_solution.py\", line 7, in test_path\n self.assertEqual(hops(g, \"a\", \"c\"), 2)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -1 != 2\n\n======================================================================\nFAIL: test_self (test_solution.Test.test_self)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-60fbx36g\\test_solution.py\", line 9, in test_self\n self.assertEqual(hops({\"x\": []}, \"x\", \"x\"), 0)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -1 != 0\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import deque\n\ndef hops(graph, start, goal):\n if start == goal:\n return 0\n seen = {start}\n q = deque([(start, 0)])\n while q:\n node, dist = q.popleft()\n for nxt in graph.get(node, []):\n if nxt in seen:\n continue\n if nxt == goal:\n return dist + 1\n seen.add(nxt)\n q.append((nxt, dist + 1))\n return -1", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_missing (test_solution.Test.test_missing) ... ok\ntest_path (test_solution.Test.test_path) ... ok\ntest_self (test_solution.Test.test_self) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "from collections import defaultdict, deque\n\ndef topo_sort(edges):\n nodes = set()\n succ = defaultdict(list)\n indeg = defaultdict(int)\n for u, v in edges:\n nodes.add(u)\n nodes.add(v)\n succ[u].append(v)\n indeg[v] += 1\n indeg.setdefault(u, indeg.get(u, 0))\n for n in nodes:\n indeg.setdefault(n, 0)\n ready = deque(sorted([n for n in nodes if indeg[n] == 0], key=str))\n out = []\n while ready:\n n = ready.popleft()\n out.append(n)\n for m in succ[n]:\n indeg[m] -= 1\n if indeg[m] == 0:\n ready.append(m)\n ready = deque(sorted(ready, key=str))\n ready = deque(sorted(ready, key=str))\n if len(out) != len(nodes):\n raise ValueError(\"cycle\")\n return out", "assumptions": [], "concept_id": "python.collections", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import defaultdict, deque\n\ndef topo_sort(edges):\n    nodes = set()\n    succ = defaultdict(list)\n    indeg = defaultdict(int)\n    for u, v in edges:\n        nodes.add(u)\n        nodes.add(v)\n        succ[u].append(v)\n        indeg[v] += 1\n        indeg.setdefault(u, indeg.get(u, 0))\n    for n in nodes:\n        indeg.setdefault(n, 0)\n    ready = deque(sorted([n for n in nodes if indeg[n] == 0], key=str))\n    out = []\n    while ready:\n        n = ready.popleft()\n        out.append(n)\n        for m in succ[n]:\n            indeg[m] -= 1\n            if indeg[m] == 0:\n                ready.append(m)\n                ready = deque(sorted(ready, key=str))\n        ready = deque(sorted(ready, key=str))\n    if len(out) != len(nodes):\n        raise ValueError(\"cycle\")\n    return out\n", "test_solution.py": "import unittest\nfrom solution import topo_sort\n\nclass Test(unittest.TestCase):\n    def test_chain(self):\n        self.assertEqual(topo_sort([(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    def test_tie(self):\n        self.assertEqual(topo_sort([(\"a\", \"c\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    def test_cycle(self):\n        with self.assertRaises(ValueError):\n            topo_sort([(\"a\", \"b\"), (\"b\", \"a\")])\n"}}, "topic": "graphs"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-topo-order-kahn-4e1e769f9a10", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 1.025, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.375, "tests": 0.0, "total": 5.625}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "topo_order_kahn", "topic": "graphs"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `topo_sort(edges) -> list`.\n\n`edges` is a list of (u, v) pairs meaning u must come before v. Nodes may appear\nonly as endpoints. Return one valid topological order as a list of nodes, using\nKahn's algorithm and breaking ties by sorting ready nodes lexicographically as\nstrings. Raise ValueError if the graph has a cycle.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import defaultdict, deque\n\ndef topo_sort(edges):\n nodes = set()\n succ = defaultdict(list)\n indeg = defaultdict(int)\n for u, v in edges:\n nodes.add(u)\n nodes.add(v)\n succ[u].append(v)\n indeg[v] += 1\n indeg.setdefault(u, indeg.get(u, 0))\n for n in nodes:\n indeg.setdefault(n, 0)\n ready = deque(sorted([n for n in nodes if indeg[n] == 0], key=str))\n out = []\n while ready:\n n = ready.popleft()\n out.append(n)\n for m in succ[n]:\n indeg[m] -= 1\n if indeg[m] == 0:\n ready.append(m)\n ready = deque(sorted(ready, key=str))\n ready = deque(sorted(ready, key=str))\n if len(out) != len(nodes):\n raise ValueError(\"cycle\")\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "algorithm_design", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_chain (test_solution.Test.test_chain) ... ok\ntest_cycle (test_solution.Test.test_cycle) ... ok\ntest_tie (test_solution.Test.test_tie) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "from collections import defaultdict, deque\n\ndef topo_sort(edges):\n nodes = set()\n succ = defaultdict(list)\n indeg = defaultdict(int)\n for u, v in edges:\n nodes.add(u)\n nodes.add(v)\n succ[u].append(v)\n indeg[v] += 1\n indeg.setdefault(u, indeg.get(u, 0))\n for n in nodes:\n indeg.setdefault(n, 0)\n ready = deque(sorted([n for n in nodes if indeg[n] == 0], key=str))\n out = []\n while ready:\n n = ready.popleft()\n out.append(n)\n for m in succ[n]:\n indeg[m] -= 1\n if indeg[m] == 0:\n ready.append(m)\n ready = deque(sorted(ready, key=str))\n ready = deque(sorted(ready, key=str))\n if len(out) != len(nodes):\n raise ValueError(\"cycle\")\n return out", "assumptions": [], "concept_id": "python.collections", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 3, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_chain (test_solution.Test.test_chain) ... FAIL\ntest_cycle (test_solution.Test.test_cycle) ... FAIL\ntest_tie (test_solution.Test.test_tie) ... FAIL\n\n======================================================================\nFAIL: test_chain (test_solution.Test.test_chain)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-i1946nji\\test_solution.py\", line 6, in test_chain\n    self.assertEqual(topo_sort([(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['a', 'b'] != ['a', 'b', 'c']\n\nSecond list contains 1 additional elements.\nFirst extra element 2:\n'c'\n\n- ['a', 'b']\n+ ['a', 'b', 'c']\n?          +++++\n\n\n======================================================================\nFAIL: test_cycle (test_solution.Test.test_cycle)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-i1946nji\\test_solution.py\", line 10, in test_cycle\n    with self.assertRaises(ValueError):\n         ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: ValueError not raised\n\n======================================================================\nFAIL: test_tie (test_solution.Test.test_tie)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-i1946nji\\test_solution.py\", line 8, in test_tie\n    self.assertEqual(topo_sort([(\"a\", \"c\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['a', 'b'] != ['a', 'b', 'c']\n\nSecond list contains 1 additional elements.\nFirst extra element 2:\n'c'\n\n- ['a', 'b']\n+ ['a', 'b', 'c']\n?          +++++\n\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=3)\n"}, "language": "python", "repository": {"files": {"solution.py": "def topo_sort(edges):\n    return [u for u, _ in edges]\n", "test_solution.py": "import unittest\nfrom solution import topo_sort\n\nclass Test(unittest.TestCase):\n    def test_chain(self):\n        self.assertEqual(topo_sort([(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    def test_tie(self):\n        self.assertEqual(topo_sort([(\"a\", \"c\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    def test_cycle(self):\n        with self.assertRaises(ValueError):\n            topo_sort([(\"a\", \"b\"), (\"b\", \"a\")])\n"}}, "topic": "graphs"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-topo-order-kahn-495cc29ee057", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.675}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 3, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_chain (test_solution.Test.test_chain) ... FAIL\ntest_cycle (test_solution.Test.test_cycle) ... FAIL\ntest_tie (test_solution.Test.test_tie) ... FAIL\n\n======================================================================\nFAIL: test_chain (test_solution.Test.test_chain)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-i1946nji\\test_solution.py\", line 6, in test_chain\n    self.assertEqual(topo_sort([(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['a', 'b'] != ['a', 'b', 'c']\n\nSecond list contains 1 additional elements.\nFirst extra element 2:\n'c'\n\n- ['a', 'b']\n+ ['a', 'b', 'c']\n?          +++++\n\n\n======================================================================\nFAIL: test_cycle (test_solution.Test.test_cycle)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-i1946nji\\test_solution.py\", line 10, in test_cycle\n    with self.assertRaises(ValueError):\n         ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: ValueError not raised\n\n======================================================================\nFAIL: test_tie (test_solution.Test.test_tie)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-i1946nji\\test_solution.py\", line 8, in test_tie\n    self.assertEqual(topo_sort([(\"a\", \"c\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['a', 'b'] != ['a', 'b', 'c']\n\nSecond list contains 1 additional elements.\nFirst extra element 2:\n'c'\n\n- ['a', 'b']\n+ ['a', 'b', 'c']\n?          +++++\n\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=3)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 3, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 3, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "topo_order_kahn", "tests_passed_after_fix": 3, "topic": "graphs"}, "natural_language": "en", "observations": ["Returns only left endpoints, ignores indegree and cycles."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `topo_sort(edges) -> list`.\n\n`edges` is a list of (u, v) pairs meaning u must come before v. Nodes may appear\nonly as endpoints. Return one valid topological order as a list of nodes, using\nKahn's algorithm and breaking ties by sorting ready nodes lexicographically as\nstrings. Raise ValueError if the graph has a cycle.\n\n--- solution.py (buggy) ---\ndef topo_sort(edges):\n return [u for u, _ in edges]\n\n--- test_solution.py ---\nimport unittest\nfrom solution import topo_sort\n\nclass Test(unittest.TestCase):\n def test_chain(self):\n self.assertEqual(topo_sort([(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n def test_tie(self):\n self.assertEqual(topo_sort([(\"a\", \"c\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n def test_cycle(self):\n with self.assertRaises(ValueError):\n topo_sort([(\"a\", \"b\"), (\"b\", \"a\")])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 3, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_chain (test_solution.Test.test_chain) ... FAIL\ntest_cycle (test_solution.Test.test_cycle) ... FAIL\ntest_tie (test_solution.Test.test_tie) ... FAIL\n\n======================================================================\nFAIL: test_chain (test_solution.Test.test_chain)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-i1946nji\\test_solution.py\", line 6, in test_chain\n self.assertEqual(topo_sort([(\"a\", \"b\"), (\"b\", \"c\")]), [\"a\", \"b\", \"c\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['a', 'b'] != ['a', 'b', 'c']\n\nSecond list contains 1 additional elements.\nFirst extra element 2:\n'c'\n\n- ['a', 'b']\n+ ['a', 'b', 'c']\n? +++++\n\n\n======================================================================\nFAIL: test_cycle (test_solution.Test.test_cycle)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-i1946nji\\test_solution.py\", line 10, in test_cycle\n with self.assertRaises(ValueError):\n ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: ValueError not raised\n\n======================================================================\nFAIL: test_tie (test_solution.Test.test_tie)\n-------", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import defaultdict, deque\n\ndef topo_sort(edges):\n nodes = set()\n succ = defaultdict(list)\n indeg = defaultdict(int)\n for u, v in edges:\n nodes.add(u)\n nodes.add(v)\n succ[u].append(v)\n indeg[v] += 1\n indeg.setdefault(u, indeg.get(u, 0))\n for n in nodes:\n indeg.setdefault(n, 0)\n ready = deque(sorted([n for n in nodes if indeg[n] == 0], key=str))\n out = []\n while ready:\n n = ready.popleft()\n out.append(n)\n for m in succ[n]:\n indeg[m] -= 1\n if indeg[m] == 0:\n ready.append(m)\n ready = deque(sorted(ready, key=str))\n ready = deque(sorted(ready, key=str))\n if len(out) != len(nodes):\n raise ValueError(\"cycle\")\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_chain (test_solution.Test.test_chain) ... ok\ntest_cycle (test_solution.Test.test_cycle) ... ok\ntest_tie (test_solution.Test.test_tie) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def ways(amount, coins):\n if amount < 0:\n return 0\n dp = [0] * (amount + 1)\n dp[0] = 1\n for c in coins:\n for x in range(c, amount + 1):\n dp[x] += dp[x - c]\n return dp[amount]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def ways(amount, coins):\n    if amount < 0:\n        return 0\n    dp = [0] * (amount + 1)\n    dp[0] = 1\n    for c in coins:\n        for x in range(c, amount + 1):\n            dp[x] += dp[x - c]\n    return dp[amount]\n", "test_solution.py": "import unittest\nfrom solution import ways\n\nclass Test(unittest.TestCase):\n    def test_classic(self):\n        self.assertEqual(ways(4, [1, 2]), 3)\n    def test_zero(self):\n        self.assertEqual(ways(0, [5]), 1)\n    def test_impossible(self):\n        self.assertEqual(ways(3, [2]), 0)\n"}}, "topic": "dynamic_programming"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-coin-change-count-c34c7d9740a6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.925, "tests": 0.0, "total": 5.425000000000001}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "coin_change_count", "topic": "dynamic_programming"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `ways(amount: int, coins: list[int]) -> int`.\n\nCount unordered combinations of `coins` that sum to `amount`. Order of coins\ndoes not matter. Coins may be reused. amount 0 is 1 way (empty combination).\nNegative amount is 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def ways(amount, coins):\n if amount < 0:\n return 0\n dp = [0] * (amount + 1)\n dp[0] = 1\n for c in coins:\n for x in range(c, amount + 1):\n dp[x] += dp[x - c]\n return dp[amount]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "algorithm_design", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_classic (test_solution.Test.test_classic) ... ok\ntest_impossible (test_solution.Test.test_impossible) ... ok\ntest_zero (test_solution.Test.test_zero) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def ways(amount, coins):\n if amount < 0:\n return 0\n dp = [0] * (amount + 1)\n dp[0] = 1\n for c in coins:\n for x in range(c, amount + 1):\n dp[x] += dp[x - c]\n return dp[amount]", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_classic (test_solution.Test.test_classic) ... FAIL\ntest_impossible (test_solution.Test.test_impossible) ... ok\ntest_zero (test_solution.Test.test_zero) ... ok\n\n======================================================================\nFAIL: test_classic (test_solution.Test.test_classic)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-sr6ahwc2\\test_solution.py\", line 6, in test_classic\n    self.assertEqual(ways(4, [1, 2]), 3)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: 5 != 3\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def ways(amount, coins):\n    dp = [0] * (amount + 1)\n    dp[0] = 1\n    for x in range(1, amount + 1):\n        for c in coins:\n            if x >= c:\n                dp[x] += dp[x - c]\n    return dp[amount]\n", "test_solution.py": "import unittest\nfrom solution import ways\n\nclass Test(unittest.TestCase):\n    def test_classic(self):\n        self.assertEqual(ways(4, [1, 2]), 3)\n    def test_zero(self):\n        self.assertEqual(ways(0, [5]), 1)\n    def test_impossible(self):\n        self.assertEqual(ways(3, [2]), 0)\n"}}, "topic": "dynamic_programming"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-coin-change-count-93013856e4a5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.5, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.8}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_classic (test_solution.Test.test_classic) ... FAIL\ntest_impossible (test_solution.Test.test_impossible) ... ok\ntest_zero (test_solution.Test.test_zero) ... ok\n\n======================================================================\nFAIL: test_classic (test_solution.Test.test_classic)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-sr6ahwc2\\test_solution.py\", line 6, in test_classic\n    self.assertEqual(ways(4, [1, 2]), 3)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: 5 != 3\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "coin_change_count", "tests_passed_after_fix": 3, "topic": "dynamic_programming"}, "natural_language": "en", "observations": ["Inner/outer loop swap counts permutations, not combinations."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `ways(amount: int, coins: list[int]) -> int`.\n\nCount unordered combinations of `coins` that sum to `amount`. Order of coins\ndoes not matter. Coins may be reused. amount 0 is 1 way (empty combination).\nNegative amount is 0.\n\n--- solution.py (buggy) ---\ndef ways(amount, coins):\n dp = [0] * (amount + 1)\n dp[0] = 1\n for x in range(1, amount + 1):\n for c in coins:\n if x >= c:\n dp[x] += dp[x - c]\n return dp[amount]\n\n--- test_solution.py ---\nimport unittest\nfrom solution import ways\n\nclass Test(unittest.TestCase):\n def test_classic(self):\n self.assertEqual(ways(4, [1, 2]), 3)\n def test_zero(self):\n self.assertEqual(ways(0, [5]), 1)\n def test_impossible(self):\n self.assertEqual(ways(3, [2]), 0)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_classic (test_solution.Test.test_classic) ... FAIL\ntest_impossible (test_solution.Test.test_impossible) ... ok\ntest_zero (test_solution.Test.test_zero) ... ok\n\n======================================================================\nFAIL: test_classic (test_solution.Test.test_classic)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-sr6ahwc2\\test_solution.py\", line 6, in test_classic\n self.assertEqual(ways(4, [1, 2]), 3)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^\nAssertionError: 5 != 3\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def ways(amount, coins):\n if amount < 0:\n return 0\n dp = [0] * (amount + 1)\n dp[0] = 1\n for c in coins:\n for x in range(c, amount + 1):\n dp[x] += dp[x - c]\n return dp[amount]", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_classic (test_solution.Test.test_classic) ... ok\ntest_impossible (test_solution.Test.test_impossible) ... ok\ntest_zero (test_solution.Test.test_zero) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def stable_merge(left, right, key):\n i = j = 0\n out = []\n while i < len(left) and j < len(right):\n if key(right[j]) < key(left[i]):\n out.append(right[j])\n j += 1\n else:\n out.append(left[i])\n i += 1\n out.extend(left[i:])\n out.extend(right[j:])\n return out", "assumptions": [], "concept_id": "cs.sorting", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def stable_merge(left, right, key):\n    i = j = 0\n    out = []\n    while i < len(left) and j < len(right):\n        if key(right[j]) < key(left[i]):\n            out.append(right[j])\n            j += 1\n        else:\n            out.append(left[i])\n            i += 1\n    out.extend(left[i:])\n    out.extend(right[j:])\n    return out\n", "test_solution.py": "import unittest\nfrom solution import stable_merge\n\nclass Test(unittest.TestCase):\n    def test_stable(self):\n        left = [(\"a\", 1), (\"c\", 1)]\n        right = [(\"b\", 1)]\n        merged = stable_merge(left, right, lambda p: p[1])\n        self.assertEqual([p[0] for p in merged], [\"a\", \"c\", \"b\"])\n    def test_order(self):\n        self.assertEqual(stable_merge([1, 4], [2, 3], lambda x: x), [1, 2, 3, 4])\n"}}, "topic": "sorting"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-stable-merge-88e2c4e006d9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.65, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 4.625}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "stable_merge", "topic": "sorting"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `stable_merge(left, right, key) -> list`.\n\nMerge two lists already sorted by `key` into one sorted list. Equal keys must\nkeep all items from `left` before items from `right` (stable).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def stable_merge(left, right, key):\n i = j = 0\n out = []\n while i < len(left) and j < len(right):\n if key(right[j]) < key(left[i]):\n out.append(right[j])\n j += 1\n else:\n out.append(left[i])\n i += 1\n out.extend(left[i:])\n out.extend(right[j:])\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_order (test_solution.Test.test_order) ... ok\ntest_stable (test_solution.Test.test_stable) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def stable_merge(left, right, key):\n i = j = 0\n out = []\n while i < len(left) and j < len(right):\n if key(right[j]) < key(left[i]):\n out.append(right[j])\n j += 1\n else:\n out.append(left[i])\n i += 1\n out.extend(left[i:])\n out.extend(right[j:])\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_order (test_solution.Test.test_order) ... FAIL\ntest_stable (test_solution.Test.test_stable) ... FAIL\n\n======================================================================\nFAIL: test_order (test_solution.Test.test_order)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-fva3gt55\\test_solution.py\", line 11, in test_order\n    self.assertEqual(stable_merge([1, 4], [2, 3], lambda x: x), [1, 2, 3, 4])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [2, 3, 1, 4] != [1, 2, 3, 4]\n\nFirst differing element 0:\n2\n1\n\n- [2, 3, 1, 4]\n?        ---\n\n+ [1, 2, 3, 4]\n?  +++\n\n\n======================================================================\nFAIL: test_stable (test_solution.Test.test_stable)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-fva3gt55\\test_solution.py\", line 9, in test_stable\n    self.assertEqual([p[0] for p in merged], [\"a\", \"c\", \"b\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['b', 'a', 'c'] != ['a', 'c', 'b']\n\nFirst differing element 0:\n'b'\n'a'\n\n- ['b', 'a', 'c']\n+ ['a', 'c', 'b']\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "def stable_merge(left, right, key):\n    i = j = 0\n    out = []\n    while i < len(left) and j < len(right):\n        if key(left[i]) <= key(right[j]):\n            out.append(right[j])\n            j += 1\n        else:\n            out.append(left[i])\n            i += 1\n    out.extend(left[i:])\n    out.extend(right[j:])\n    return out\n", "test_solution.py": "import unittest\nfrom solution import stable_merge\n\nclass Test(unittest.TestCase):\n    def test_stable(self):\n        left = [(\"a\", 1), (\"c\", 1)]\n        right = [(\"b\", 1)]\n        merged = stable_merge(left, right, lambda p: p[1])\n        self.assertEqual([p[0] for p in merged], [\"a\", \"c\", \"b\"])\n    def test_order(self):\n        self.assertEqual(stable_merge([1, 4], [2, 3], lambda x: x), [1, 2, 3, 4])\n"}}, "topic": "sorting"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-stable-merge-0bcb52995716", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.65, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.95}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_order (test_solution.Test.test_order) ... FAIL\ntest_stable (test_solution.Test.test_stable) ... FAIL\n\n======================================================================\nFAIL: test_order (test_solution.Test.test_order)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-fva3gt55\\test_solution.py\", line 11, in test_order\n    self.assertEqual(stable_merge([1, 4], [2, 3], lambda x: x), [1, 2, 3, 4])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [2, 3, 1, 4] != [1, 2, 3, 4]\n\nFirst differing element 0:\n2\n1\n\n- [2, 3, 1, 4]\n?        ---\n\n+ [1, 2, 3, 4]\n?  +++\n\n\n======================================================================\nFAIL: test_stable (test_solution.Test.test_stable)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-fva3gt55\\test_solution.py\", line 9, in test_stable\n    self.assertEqual([p[0] for p in merged], [\"a\", \"c\", \"b\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['b', 'a', 'c'] != ['a', 'c', 'b']\n\nFirst differing element 0:\n'b'\n'a'\n\n- ['b', 'a', 'c']\n+ ['a', 'c', 'b']\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "stable_merge", "tests_passed_after_fix": 2, "topic": "sorting"}, "natural_language": "en", "observations": ["Takes from right on ties, breaking stability."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `stable_merge(left, right, key) -> list`.\n\nMerge two lists already sorted by `key` into one sorted list. Equal keys must\nkeep all items from `left` before items from `right` (stable).\n\n--- solution.py (buggy) ---\ndef stable_merge(left, right, key):\n i = j = 0\n out = []\n while i < len(left) and j < len(right):\n if key(left[i]) <= key(right[j]):\n out.append(right[j])\n j += 1\n else:\n out.append(left[i])\n i += 1\n out.extend(left[i:])\n out.extend(right[j:])\n return out\n\n--- test_solution.py ---\nimport unittest\nfrom solution import stable_merge\n\nclass Test(unittest.TestCase):\n def test_stable(self):\n left = [(\"a\", 1), (\"c\", 1)]\n right = [(\"b\", 1)]\n merged = stable_merge(left, right, lambda p: p[1])\n self.assertEqual([p[0] for p in merged], [\"a\", \"c\", \"b\"])\n def test_order(self):\n self.assertEqual(stable_merge([1, 4], [2, 3], lambda x: x), [1, 2, 3, 4])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_order (test_solution.Test.test_order) ... FAIL\ntest_stable (test_solution.Test.test_stable) ... FAIL\n\n======================================================================\nFAIL: test_order (test_solution.Test.test_order)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-fva3gt55\\test_solution.py\", line 11, in test_order\n self.assertEqual(stable_merge([1, 4], [2, 3], lambda x: x), [1, 2, 3, 4])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [2, 3, 1, 4] != [1, 2, 3, 4]\n\nFirst differing element 0:\n2\n1\n\n- [2, 3, 1, 4]\n? ---\n\n+ [1, 2, 3, 4]\n? +++\n\n\n======================================================================\nFAIL: test_stable (test_solution.Test.test_stable)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-fva3gt55\\test_solution.py\", line 9, in test_stable\n self.assertEqual([p[0] for p in merged], [\"a\", \"c\", \"b\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['b', 'a', 'c'] != ['a', 'c', 'b']\n\nFirst differing element 0:\n'b'\n'a'\n\n- ['b', 'a', 'c']\n+ ['a', 'c', 'b']\n\n-----------------------------------------------------", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:52Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def stable_merge(left, right, key):\n i = j = 0\n out = []\n while i < len(left) and j < len(right):\n if key(right[j]) < key(left[i]):\n out.append(right[j])\n j += 1\n else:\n out.append(left[i])\n i += 1\n out.extend(left[i:])\n out.extend(right[j:])\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_order (test_solution.Test.test_order) ... ok\ntest_stable (test_solution.Test.test_stable) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def insert(root, value):\n if root is None:\n return {\"v\": value, \"l\": None, \"r\": None}\n if value < root[\"v\"]:\n root[\"l\"] = insert(root[\"l\"], value)\n elif value > root[\"v\"]:\n root[\"r\"] = insert(root[\"r\"], value)\n return root\n\ndef contains(root, value):\n cur = root\n while cur is not None:\n if value == cur[\"v\"]:\n return True\n cur = cur[\"l\"] if value < cur[\"v\"] else cur[\"r\"]\n return False", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def insert(root, value):\n    if root is None:\n        return {\"v\": value, \"l\": None, \"r\": None}\n    if value < root[\"v\"]:\n        root[\"l\"] = insert(root[\"l\"], value)\n    elif value > root[\"v\"]:\n        root[\"r\"] = insert(root[\"r\"], value)\n    return root\n\ndef contains(root, value):\n    cur = root\n    while cur is not None:\n        if value == cur[\"v\"]:\n            return True\n        cur = cur[\"l\"] if value < cur[\"v\"] else cur[\"r\"]\n    return False\n", "test_solution.py": "import unittest\nfrom solution import insert, contains\n\nclass Test(unittest.TestCase):\n    def test_roundtrip(self):\n        root = None\n        for x in [5, 3, 7, 3]:\n            root = insert(root, x)\n        self.assertTrue(contains(root, 3))\n        self.assertTrue(contains(root, 7))\n        self.assertFalse(contains(root, 4))\n    def test_empty(self):\n        self.assertFalse(contains(None, 1))\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-bst-insert-search-99708831c4f3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.775, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.425000000000001}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "bst_insert_search", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement a tiny BST: `insert(root, value)` returning the new root, and\n`contains(root, value) -> bool`. Nodes are dicts `{\"v\": int, \"l\": node|None, \"r\": node|None}`.\nDuplicate inserts are no-ops. `root` may be None.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:53Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def insert(root, value):\n if root is None:\n return {\"v\": value, \"l\": None, \"r\": None}\n if value < root[\"v\"]:\n root[\"l\"] = insert(root[\"l\"], value)\n elif value > root[\"v\"]:\n root[\"r\"] = insert(root[\"r\"], value)\n return root\n\ndef contains(root, value):\n cur = root\n while cur is not None:\n if value == cur[\"v\"]:\n return True\n cur = cur[\"l\"] if value < cur[\"v\"] else cur[\"r\"]\n return False", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_roundtrip (test_solution.Test.test_roundtrip) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def insert(root, value):\n if root is None:\n return {\"v\": value, \"l\": None, \"r\": None}\n if value < root[\"v\"]:\n root[\"l\"] = insert(root[\"l\"], value)\n elif value > root[\"v\"]:\n root[\"r\"] = insert(root[\"r\"], value)\n return root\n\ndef contains(root, value):\n cur = root\n while cur is not None:\n if value == cur[\"v\"]:\n return True\n cur = cur[\"l\"] if value < cur[\"v\"] else cur[\"r\"]\n return False", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_roundtrip (test_solution.Test.test_roundtrip) ... FAIL\n\n======================================================================\nFAIL: test_roundtrip (test_solution.Test.test_roundtrip)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-c5vkjy71\\test_solution.py\", line 9, in test_roundtrip\n    self.assertTrue(contains(root, 3))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def insert(root, value):\n    if root is None:\n        return {\"v\": value, \"l\": None, \"r\": None}\n    root[\"r\"] = insert(root[\"r\"], value)\n    return root\n\ndef contains(root, value):\n    return root is not None and root[\"v\"] == value\n", "test_solution.py": "import unittest\nfrom solution import insert, contains\n\nclass Test(unittest.TestCase):\n    def test_roundtrip(self):\n        root = None\n        for x in [5, 3, 7, 3]:\n            root = insert(root, x)\n        self.assertTrue(contains(root, 3))\n        self.assertTrue(contains(root, 7))\n        self.assertFalse(contains(root, 4))\n    def test_empty(self):\n        self.assertFalse(contains(None, 1))\n"}}, "topic": "data_structures"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-bst-insert-search-54a126a49040", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.575, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.875}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_roundtrip (test_solution.Test.test_roundtrip) ... FAIL\n\n======================================================================\nFAIL: test_roundtrip (test_solution.Test.test_roundtrip)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-c5vkjy71\\test_solution.py\", line 9, in test_roundtrip\n    self.assertTrue(contains(root, 3))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "bst_insert_search", "tests_passed_after_fix": 2, "topic": "data_structures"}, "natural_language": "en", "observations": ["Always inserts on the right and only checks the root."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement a tiny BST: `insert(root, value)` returning the new root, and\n`contains(root, value) -> bool`. Nodes are dicts `{\"v\": int, \"l\": node|None, \"r\": node|None}`.\nDuplicate inserts are no-ops. `root` may be None.\n\n--- solution.py (buggy) ---\ndef insert(root, value):\n if root is None:\n return {\"v\": value, \"l\": None, \"r\": None}\n root[\"r\"] = insert(root[\"r\"], value)\n return root\n\ndef contains(root, value):\n return root is not None and root[\"v\"] == value\n\n--- test_solution.py ---\nimport unittest\nfrom solution import insert, contains\n\nclass Test(unittest.TestCase):\n def test_roundtrip(self):\n root = None\n for x in [5, 3, 7, 3]:\n root = insert(root, x)\n self.assertTrue(contains(root, 3))\n self.assertTrue(contains(root, 7))\n self.assertFalse(contains(root, 4))\n def test_empty(self):\n self.assertFalse(contains(None, 1))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_roundtrip (test_solution.Test.test_roundtrip) ... FAIL\n\n======================================================================\nFAIL: test_roundtrip (test_solution.Test.test_roundtrip)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-c5vkjy71\\test_solution.py\", line 9, in test_roundtrip\n self.assertTrue(contains(root, 3))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:53Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def insert(root, value):\n if root is None:\n return {\"v\": value, \"l\": None, \"r\": None}\n if value < root[\"v\"]:\n root[\"l\"] = insert(root[\"l\"], value)\n elif value > root[\"v\"]:\n root[\"r\"] = insert(root[\"r\"], value)\n return root\n\ndef contains(root, value):\n cur = root\n while cur is not None:\n if value == cur[\"v\"]:\n return True\n cur = cur[\"l\"] if value < cur[\"v\"] else cur[\"r\"]\n return False", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_roundtrip (test_solution.Test.test_roundtrip) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "from collections import OrderedDict\n\nclass LRUCache:\n def __init__(self, capacity):\n self.cap = capacity\n self.data = OrderedDict()\n\n def get(self, key):\n if key not in self.data:\n return None\n self.data.move_to_end(key)\n return self.data[key]\n\n def put(self, key, value):\n if key in self.data:\n self.data.move_to_end(key)\n self.data[key] = value\n if len(self.data) > self.cap:\n self.data.popitem(last=False)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import OrderedDict\n\nclass LRUCache:\n    def __init__(self, capacity):\n        self.cap = capacity\n        self.data = OrderedDict()\n\n    def get(self, key):\n        if key not in self.data:\n            return None\n        self.data.move_to_end(key)\n        return self.data[key]\n\n    def put(self, key, value):\n        if key in self.data:\n            self.data.move_to_end(key)\n        self.data[key] = value\n        if len(self.data) > self.cap:\n            self.data.popitem(last=False)\n", "test_solution.py": "import unittest\nfrom solution import LRUCache\n\nclass Test(unittest.TestCase):\n    def test_evict(self):\n        c = LRUCache(2)\n        c.put(\"a\", 1)\n        c.put(\"b\", 2)\n        c.get(\"a\")\n        c.put(\"c\", 3)\n        self.assertIsNone(c.get(\"b\"))\n        self.assertEqual(c.get(\"a\"), 1)\n        self.assertEqual(c.get(\"c\"), 3)\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-lru-get-put-9c302e826666", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.85, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.475}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "lru_get_put", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement class `LRUCache(capacity)` with `get(key)` and `put(key, value)`.\n\nCapacity is a positive int. `get` returns the value or None. `put` inserts or\nupdates; if the cache exceeds capacity, evict the least recently used key.\nBoth get and put count as use.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:53Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import OrderedDict\n\nclass LRUCache:\n def __init__(self, capacity):\n self.cap = capacity\n self.data = OrderedDict()\n\n def get(self, key):\n if key not in self.data:\n return None\n self.data.move_to_end(key)\n return self.data[key]\n\n def put(self, key, value):\n if key in self.data:\n self.data.move_to_end(key)\n self.data[key] = value\n if len(self.data) > self.cap:\n self.data.popitem(last=False)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_evict (test_solution.Test.test_evict) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "from collections import OrderedDict\n\nclass LRUCache:\n def __init__(self, capacity):\n self.cap = capacity\n self.data = OrderedDict()\n\n def get(self, key):\n if key not in self.data:\n return None\n self.data.move_to_end(key)\n return self.data[key]\n\n def put(self, key, value):\n if key in self.data:\n self.data.move_to_end(key)\n self.data[key] = value\n if len(self.data) > self.cap:\n self.data.popitem(last=False)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_evict (test_solution.Test.test_evict) ... FAIL\n\n======================================================================\nFAIL: test_evict (test_solution.Test.test_evict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-_6g9qfki\\test_solution.py\", line 11, in test_evict\n    self.assertIsNone(c.get(\"b\"))\n    ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: 2 is not None\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "from collections import OrderedDict\n\nclass LRUCache:\n    def __init__(self, capacity):\n        self.cap = capacity\n        self.data = OrderedDict()\n\n    def get(self, key):\n        return self.data.get(key)\n\n    def put(self, key, value):\n        self.data[key] = value\n        if len(self.data) > self.cap:\n            self.data.popitem(last=True)\n", "test_solution.py": "import unittest\nfrom solution import LRUCache\n\nclass Test(unittest.TestCase):\n    def test_evict(self):\n        c = LRUCache(2)\n        c.put(\"a\", 1)\n        c.put(\"b\", 2)\n        c.get(\"a\")\n        c.put(\"c\", 3)\n        self.assertIsNone(c.get(\"b\"))\n        self.assertEqual(c.get(\"a\"), 1)\n        self.assertEqual(c.get(\"c\"), 3)\n"}}, "topic": "data_structures"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-lru-get-put-16e5726ed2c8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.725, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.025}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_evict (test_solution.Test.test_evict) ... FAIL\n\n======================================================================\nFAIL: test_evict (test_solution.Test.test_evict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-_6g9qfki\\test_solution.py\", line 11, in test_evict\n    self.assertIsNone(c.get(\"b\"))\n    ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: 2 is not None\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "lru_get_put", "tests_passed_after_fix": 1, "topic": "data_structures"}, "natural_language": "en", "observations": ["get does not refresh recency; evicts most recently inserted."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement class `LRUCache(capacity)` with `get(key)` and `put(key, value)`.\n\nCapacity is a positive int. `get` returns the value or None. `put` inserts or\nupdates; if the cache exceeds capacity, evict the least recently used key.\nBoth get and put count as use.\n\n--- solution.py (buggy) ---\nfrom collections import OrderedDict\n\nclass LRUCache:\n def __init__(self, capacity):\n self.cap = capacity\n self.data = OrderedDict()\n\n def get(self, key):\n return self.data.get(key)\n\n def put(self, key, value):\n self.data[key] = value\n if len(self.data) > self.cap:\n self.data.popitem(last=True)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import LRUCache\n\nclass Test(unittest.TestCase):\n def test_evict(self):\n c = LRUCache(2)\n c.put(\"a\", 1)\n c.put(\"b\", 2)\n c.get(\"a\")\n c.put(\"c\", 3)\n self.assertIsNone(c.get(\"b\"))\n self.assertEqual(c.get(\"a\"), 1)\n self.assertEqual(c.get(\"c\"), 3)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_evict (test_solution.Test.test_evict) ... FAIL\n\n======================================================================\nFAIL: test_evict (test_solution.Test.test_evict)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-_6g9qfki\\test_solution.py\", line 11, in test_evict\n self.assertIsNone(c.get(\"b\"))\n ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: 2 is not None\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:53Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import OrderedDict\n\nclass LRUCache:\n def __init__(self, capacity):\n self.cap = capacity\n self.data = OrderedDict()\n\n def get(self, key):\n if key not in self.data:\n return None\n self.data.move_to_end(key)\n return self.data[key]\n\n def put(self, key, value):\n if key in self.data:\n self.data.move_to_end(key)\n self.data[key] = value\n if len(self.data) > self.cap:\n self.data.popitem(last=False)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_evict (test_solution.Test.test_evict) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def inversions(xs):\n n = len(xs)\n count = 0\n for i in range(n):\n for j in range(i + 1, n):\n if xs[i] > xs[j]:\n count += 1\n return count", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def inversions(xs):\n    n = len(xs)\n    count = 0\n    for i in range(n):\n        for j in range(i + 1, n):\n            if xs[i] > xs[j]:\n                count += 1\n    return count\n", "test_solution.py": "import unittest\nfrom solution import inversions\n\nclass Test(unittest.TestCase):\n    def test_rev(self):\n        self.assertEqual(inversions([3, 2, 1]), 3)\n    def test_sorted(self):\n        self.assertEqual(inversions([1, 2, 3]), 0)\n    def test_empty(self):\n        self.assertEqual(inversions([]), 0)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-count-inversions-0ef771449e37", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.5, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 4.6}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "count_inversions", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `inversions(xs: list[int]) -> int`.\n\nReturn the number of pairs i < j with xs[i] > xs[j]. Empty or sorted lists are 0.\nn will be small enough for O(n^2).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:53Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def inversions(xs):\n n = len(xs)\n count = 0\n for i in range(n):\n for j in range(i + 1, n):\n if xs[i] > xs[j]:\n count += 1\n return count", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "algorithm_design", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_rev (test_solution.Test.test_rev) ... ok\ntest_sorted (test_solution.Test.test_sorted) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def inversions(xs):\n n = len(xs)\n count = 0\n for i in range(n):\n for j in range(i + 1, n):\n if xs[i] > xs[j]:\n count += 1\n return count", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_rev (test_solution.Test.test_rev) ... FAIL\ntest_sorted (test_solution.Test.test_sorted) ... ok\n\n======================================================================\nFAIL: test_rev (test_solution.Test.test_rev)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ms6zex3x\\test_solution.py\", line 6, in test_rev\n    self.assertEqual(inversions([3, 2, 1]), 3)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 2 != 3\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def inversions(xs):\n    return sum(1 for a, b in zip(xs, xs[1:]) if a > b)\n", "test_solution.py": "import unittest\nfrom solution import inversions\n\nclass Test(unittest.TestCase):\n    def test_rev(self):\n        self.assertEqual(inversions([3, 2, 1]), 3)\n    def test_sorted(self):\n        self.assertEqual(inversions([1, 2, 3]), 0)\n    def test_empty(self):\n        self.assertEqual(inversions([]), 0)\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-count-inversions-c81f7f52196e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.75, "tests": 0.0, "total": 10.399999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_rev (test_solution.Test.test_rev) ... FAIL\ntest_sorted (test_solution.Test.test_sorted) ... ok\n\n======================================================================\nFAIL: test_rev (test_solution.Test.test_rev)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ms6zex3x\\test_solution.py\", line 6, in test_rev\n    self.assertEqual(inversions([3, 2, 1]), 3)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 2 != 3\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "count_inversions", "tests_passed_after_fix": 3, "topic": "algorithms"}, "natural_language": "en", "observations": ["Only counts adjacent inversions."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `inversions(xs: list[int]) -> int`.\n\nReturn the number of pairs i < j with xs[i] > xs[j]. Empty or sorted lists are 0.\nn will be small enough for O(n^2).\n\n--- solution.py (buggy) ---\ndef inversions(xs):\n return sum(1 for a, b in zip(xs, xs[1:]) if a > b)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import inversions\n\nclass Test(unittest.TestCase):\n def test_rev(self):\n self.assertEqual(inversions([3, 2, 1]), 3)\n def test_sorted(self):\n self.assertEqual(inversions([1, 2, 3]), 0)\n def test_empty(self):\n self.assertEqual(inversions([]), 0)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_rev (test_solution.Test.test_rev) ... FAIL\ntest_sorted (test_solution.Test.test_sorted) ... ok\n\n======================================================================\nFAIL: test_rev (test_solution.Test.test_rev)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ms6zex3x\\test_solution.py\", line 6, in test_rev\n self.assertEqual(inversions([3, 2, 1]), 3)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 2 != 3\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:53Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def inversions(xs):\n n = len(xs)\n count = 0\n for i in range(n):\n for j in range(i + 1, n):\n if xs[i] > xs[j]:\n count += 1\n return count", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_rev (test_solution.Test.test_rev) ... ok\ntest_sorted (test_solution.Test.test_sorted) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def one_edit(a, b):\n if a == b:\n return True\n if abs(len(a) - len(b)) > 1:\n return False\n if len(a) == len(b):\n return sum(x != y for x, y in zip(a, b)) == 1\n if len(a) > len(b):\n a, b = b, a\n i = j = 0\n skipped = False\n while i < len(a) and j < len(b):\n if a[i] == b[j]:\n i += 1\n j += 1\n continue\n if skipped:\n return False\n skipped = True\n j += 1\n return True", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def one_edit(a, b):\n    if a == b:\n        return True\n    if abs(len(a) - len(b)) > 1:\n        return False\n    if len(a) == len(b):\n        return sum(x != y for x, y in zip(a, b)) == 1\n    if len(a) > len(b):\n        a, b = b, a\n    i = j = 0\n    skipped = False\n    while i < len(a) and j < len(b):\n        if a[i] == b[j]:\n            i += 1\n            j += 1\n            continue\n        if skipped:\n            return False\n        skipped = True\n        j += 1\n    return True\n", "test_solution.py": "import unittest\nfrom solution import one_edit\n\nclass Test(unittest.TestCase):\n    def test_sub(self):\n        self.assertTrue(one_edit(\"cat\", \"cut\"))\n    def test_ins(self):\n        self.assertTrue(one_edit(\"ca\", \"cat\"))\n    def test_two(self):\n        self.assertFalse(one_edit(\"cat\", \"dog\"))\n    def test_same(self):\n        self.assertTrue(one_edit(\"ab\", \"ab\"))\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-edit-distance-one-fd8be8da1000", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.875, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 5.225}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "edit_distance_one", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `one_edit(a: str, b: str) -> bool`.\n\nTrue if a and b are equal, or differ by a single insert, delete, or substitute.\nFalse otherwise.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:53Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def one_edit(a, b):\n if a == b:\n return True\n if abs(len(a) - len(b)) > 1:\n return False\n if len(a) == len(b):\n return sum(x != y for x, y in zip(a, b)) == 1\n if len(a) > len(b):\n a, b = b, a\n i = j = 0\n skipped = False\n while i < len(a) and j < len(b):\n if a[i] == b[j]:\n i += 1\n j += 1\n continue\n if skipped:\n return False\n skipped = True\n j += 1\n return True", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ins (test_solution.Test.test_ins) ... ok\ntest_same (test_solution.Test.test_same) ... ok\ntest_sub (test_solution.Test.test_sub) ... ok\ntest_two (test_solution.Test.test_two) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def one_edit(a, b):\n if a == b:\n return True\n if abs(len(a) - len(b)) > 1:\n return False\n if len(a) == len(b):\n return sum(x != y for x, y in zip(a, b)) == 1\n if len(a) > len(b):\n a, b = b, a\n i = j = 0\n skipped = False\n while i < len(a) and j < len(b):\n if a[i] == b[j]:\n i += 1\n j += 1\n continue\n if skipped:\n return False\n skipped = True\n j += 1\n return True", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_ins (test_solution.Test.test_ins) ... ok\ntest_same (test_solution.Test.test_same) ... ok\ntest_sub (test_solution.Test.test_sub) ... ok\ntest_two (test_solution.Test.test_two) ... FAIL\n\n======================================================================\nFAIL: test_two (test_solution.Test.test_two)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-zhj4c5_4\\test_solution.py\", line 10, in test_two\n    self.assertFalse(one_edit(\"cat\", \"dog\"))\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True is not false\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def one_edit(a, b):\n    return abs(len(a) - len(b)) <= 1\n", "test_solution.py": "import unittest\nfrom solution import one_edit\n\nclass Test(unittest.TestCase):\n    def test_sub(self):\n        self.assertTrue(one_edit(\"cat\", \"cut\"))\n    def test_ins(self):\n        self.assertTrue(one_edit(\"ca\", \"cat\"))\n    def test_two(self):\n        self.assertFalse(one_edit(\"cat\", \"dog\"))\n    def test_same(self):\n        self.assertTrue(one_edit(\"ab\", \"ab\"))\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-edit-distance-one-e6ea814b35b4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.575, "tests": 0.0, "total": 10.275}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_ins (test_solution.Test.test_ins) ... ok\ntest_same (test_solution.Test.test_same) ... ok\ntest_sub (test_solution.Test.test_sub) ... ok\ntest_two (test_solution.Test.test_two) ... FAIL\n\n======================================================================\nFAIL: test_two (test_solution.Test.test_two)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-zhj4c5_4\\test_solution.py\", line 10, in test_two\n    self.assertFalse(one_edit(\"cat\", \"dog\"))\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True is not false\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 3}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "edit_distance_one", "tests_passed_after_fix": 4, "topic": "algorithms"}, "natural_language": "en", "observations": ["Only checks length, not actual edits."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `one_edit(a: str, b: str) -> bool`.\n\nTrue if a and b are equal, or differ by a single insert, delete, or substitute.\nFalse otherwise.\n\n--- solution.py (buggy) ---\ndef one_edit(a, b):\n return abs(len(a) - len(b)) <= 1\n\n--- test_solution.py ---\nimport unittest\nfrom solution import one_edit\n\nclass Test(unittest.TestCase):\n def test_sub(self):\n self.assertTrue(one_edit(\"cat\", \"cut\"))\n def test_ins(self):\n self.assertTrue(one_edit(\"ca\", \"cat\"))\n def test_two(self):\n self.assertFalse(one_edit(\"cat\", \"dog\"))\n def test_same(self):\n self.assertTrue(one_edit(\"ab\", \"ab\"))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_ins (test_solution.Test.test_ins) ... ok\ntest_same (test_solution.Test.test_same) ... ok\ntest_sub (test_solution.Test.test_sub) ... ok\ntest_two (test_solution.Test.test_two) ... FAIL\n\n======================================================================\nFAIL: test_two (test_solution.Test.test_two)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-zhj4c5_4\\test_solution.py\", line 10, in test_two\n self.assertFalse(one_edit(\"cat\", \"dog\"))\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True is not false\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:53Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def one_edit(a, b):\n if a == b:\n return True\n if abs(len(a) - len(b)) > 1:\n return False\n if len(a) == len(b):\n return sum(x != y for x, y in zip(a, b)) == 1\n if len(a) > len(b):\n a, b = b, a\n i = j = 0\n skipped = False\n while i < len(a) and j < len(b):\n if a[i] == b[j]:\n i += 1\n j += 1\n continue\n if skipped:\n return False\n skipped = True\n j += 1\n return True", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ins (test_solution.Test.test_ins) ... ok\ntest_same (test_solution.Test.test_same) ... ok\ntest_sub (test_solution.Test.test_sub) ... ok\ntest_two (test_solution.Test.test_two) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def has_cycle(head):\n slow = fast = head\n while fast is not None and fast[\"n\"] is not None:\n slow = slow[\"n\"]\n fast = fast[\"n\"][\"n\"]\n if slow is fast:\n return True\n return False", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def has_cycle(head):\n    slow = fast = head\n    while fast is not None and fast[\"n\"] is not None:\n        slow = slow[\"n\"]\n        fast = fast[\"n\"][\"n\"]\n        if slow is fast:\n            return True\n    return False\n", "test_solution.py": "import unittest\nfrom solution import has_cycle\n\nclass Test(unittest.TestCase):\n    def test_cycle(self):\n        a = {\"v\": 1, \"n\": None}\n        b = {\"v\": 2, \"n\": None}\n        c = {\"v\": 3, \"n\": None}\n        a[\"n\"] = b\n        b[\"n\"] = c\n        c[\"n\"] = b\n        self.assertTrue(has_cycle(a))\n    def test_none(self):\n        self.assertFalse(has_cycle(None))\n    def test_line(self):\n        a = {\"v\": 1, \"n\": {\"v\": 2, \"n\": None}}\n        self.assertFalse(has_cycle(a))\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-cycle-detect-bac7cea73b27", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 3.9000000000000004}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "cycle_detect", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `has_cycle(head) -> bool`.\n\nLinked list nodes are `{\"v\": any, \"n\": node|None}`. Detect a cycle using\nconstant extra memory (Floyd).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:53Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def has_cycle(head):\n slow = fast = head\n while fast is not None and fast[\"n\"] is not None:\n slow = slow[\"n\"]\n fast = fast[\"n\"][\"n\"]\n if slow is fast:\n return True\n return False", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_cycle (test_solution.Test.test_cycle) ... ok\ntest_line (test_solution.Test.test_line) ... ok\ntest_none (test_solution.Test.test_none) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def has_cycle(head):\n slow = fast = head\n while fast is not None and fast[\"n\"] is not None:\n slow = slow[\"n\"]\n fast = fast[\"n\"][\"n\"]\n if slow is fast:\n return True\n return False", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "\ntest_cycle (test_solution.Test.test_cycle) ... "}, "language": "python", "repository": {"files": {"solution.py": "def has_cycle(head):\n    seen = []\n    cur = head\n    while cur is not None:\n        if cur in seen:\n            return True\n        seen.append(cur[\"v\"])\n        cur = cur[\"n\"]\n    return False\n", "test_solution.py": "import unittest\nfrom solution import has_cycle\n\nclass Test(unittest.TestCase):\n    def test_cycle(self):\n        a = {\"v\": 1, \"n\": None}\n        b = {\"v\": 2, \"n\": None}\n        c = {\"v\": 3, \"n\": None}\n        a[\"n\"] = b\n        b[\"n\"] = c\n        c[\"n\"] = b\n        self.assertTrue(has_cycle(a))\n    def test_none(self):\n        self.assertFalse(has_cycle(None))\n    def test_line(self):\n        a = {\"v\": 1, \"n\": {\"v\": 2, \"n\": None}}\n        self.assertFalse(has_cycle(a))\n"}}, "topic": "data_structures"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-cycle-detect-a794f8ec0610", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.375, "observations": 0.3, "plan": 1.6, "prompt_length": 3.175, "tests": 0.0, "total": 9.55}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {}, "timed_out": true}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_cycle (test_solution.Test.test_cycle) ... ", "stdout": "", "tests_failed": null, "tests_passed": null}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "cycle_detect", "tests_passed_after_fix": 3, "topic": "data_structures"}, "natural_language": "en", "observations": ["Tracks values, not node identity, so duplicate values look like cycles."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `has_cycle(head) -> bool`.\n\nLinked list nodes are `{\"v\": any, \"n\": node|None}`. Detect a cycle using\nconstant extra memory (Floyd).\n\n--- solution.py (buggy) ---\ndef has_cycle(head):\n seen = []\n cur = head\n while cur is not None:\n if cur in seen:\n return True\n seen.append(cur[\"v\"])\n cur = cur[\"n\"]\n return False\n\n--- test_solution.py ---\nimport unittest\nfrom solution import has_cycle\n\nclass Test(unittest.TestCase):\n def test_cycle(self):\n a = {\"v\": 1, \"n\": None}\n b = {\"v\": 2, \"n\": None}\n c = {\"v\": 3, \"n\": None}\n a[\"n\"] = b\n b[\"n\"] = c\n c[\"n\"] = b\n self.assertTrue(has_cycle(a))\n def test_none(self):\n self.assertFalse(has_cycle(None))\n def test_line(self):\n a = {\"v\": 1, \"n\": {\"v\": 2, \"n\": None}}\n self.assertFalse(has_cycle(a))\n\n--- failure ---\n\ntest_cycle (test_solution.Test.test_cycle) ...", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:34:53Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def has_cycle(head):\n slow = fast = head\n while fast is not None and fast[\"n\"] is not None:\n slow = slow[\"n\"]\n fast = fast[\"n\"][\"n\"]\n if slow is fast:\n return True\n return False", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_cycle (test_solution.Test.test_cycle) ... ok\ntest_line (test_solution.Test.test_line) ... ok\ntest_none (test_solution.Test.test_none) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "from collections import defaultdict\n\ndef shortest_unique_prefix(words):\n trie = {}\n counts = defaultdict(int)\n for w in words:\n node = trie\n for ch in w:\n node = node.setdefault(ch, {})\n counts[id(node)] += 1\n node[\"$\"] = True\n out = []\n for w in words:\n node = trie\n pref = []\n for ch in w:\n node = node[ch]\n pref.append(ch)\n if counts[id(node)] == 1:\n break\n out.append(\"\".join(pref))\n return out", "assumptions": [], "concept_id": "python.collections", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import defaultdict\n\ndef shortest_unique_prefix(words):\n    trie = {}\n    counts = defaultdict(int)\n    for w in words:\n        node = trie\n        for ch in w:\n            node = node.setdefault(ch, {})\n            counts[id(node)] += 1\n        node[\"$\"] = True\n    out = []\n    for w in words:\n        node = trie\n        pref = []\n        for ch in w:\n            node = node[ch]\n            pref.append(ch)\n            if counts[id(node)] == 1:\n                break\n        out.append(\"\".join(pref))\n    return out\n", "test_solution.py": "import unittest\nfrom solution import shortest_unique_prefix\n\nclass Test(unittest.TestCase):\n    def test_basic(self):\n        self.assertEqual(\n            shortest_unique_prefix([\"cat\", \"car\", \"dog\"]),\n            [\"cat\", \"car\", \"d\"],\n        )\n    def test_prefix_word(self):\n        self.assertEqual(shortest_unique_prefix([\"a\", \"ab\"]), [\"a\", \"ab\"])\n"}}, "topic": "strings"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-prefix-unique-7d3e675ed878", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.875, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.975, "tests": 0.0, "total": 4.825}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "prefix_unique", "topic": "strings"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `shortest_unique_prefix(words: list[str]) -> list[str]`.\n\nFor each word, return the shortest prefix that uniquely identifies it among\n`words`. If a word is a prefix of another, the unique prefix is the whole word.\nAssume words are distinct and nonempty.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:05Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import defaultdict\n\ndef shortest_unique_prefix(words):\n trie = {}\n counts = defaultdict(int)\n for w in words:\n node = trie\n for ch in w:\n node = node.setdefault(ch, {})\n counts[id(node)] += 1\n node[\"$\"] = True\n out = []\n for w in words:\n node = trie\n pref = []\n for ch in w:\n node = node[ch]\n pref.append(ch)\n if counts[id(node)] == 1:\n break\n out.append(\"\".join(pref))\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_basic (test_solution.Test.test_basic) ... ok\ntest_prefix_word (test_solution.Test.test_prefix_word) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "from collections import defaultdict\n\ndef shortest_unique_prefix(words):\n trie = {}\n counts = defaultdict(int)\n for w in words:\n node = trie\n for ch in w:\n node = node.setdefault(ch, {})\n counts[id(node)] += 1\n node[\"$\"] = True\n out = []\n for w in words:\n node = trie\n pref = []\n for ch in w:\n node = node[ch]\n pref.append(ch)\n if counts[id(node)] == 1:\n break\n out.append(\"\".join(pref))\n return out", "assumptions": [], "concept_id": "python.collections", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_basic (test_solution.Test.test_basic) ... FAIL\ntest_prefix_word (test_solution.Test.test_prefix_word) ... FAIL\n\n======================================================================\nFAIL: test_basic (test_solution.Test.test_basic)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-cxlkoac3\\test_solution.py\", line 6, in test_basic\n    self.assertEqual(\n    ~~~~~~~~~~~~~~~~^\n        shortest_unique_prefix([\"cat\", \"car\", \"dog\"]),\n        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n        [\"cat\", \"car\", \"d\"],\n        ^^^^^^^^^^^^^^^^^^^^\n    )\n    ^\nAssertionError: Lists differ: ['c', 'c', 'd'] != ['cat', 'car', 'd']\n\nFirst differing element 0:\n'c'\n'cat'\n\n- ['c', 'c', 'd']\n+ ['cat', 'car', 'd']\n?    ++     ++\n\n\n======================================================================\nFAIL: test_prefix_word (test_solution.Test.test_prefix_word)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-cxlkoac3\\test_solution.py\", line 11, in test_prefix_word\n    self.assertEqual(shortest_unique_prefix([\"a\", \"ab\"]), [\"a\", \"ab\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['a', 'a'] != ['a', 'ab']\n\nFirst differing element 1:\n'a'\n'ab'\n\n- ['a', 'a']\n+ ['a', 'ab']\n?         +\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "def shortest_unique_prefix(words):\n    return [w[:1] for w in words]\n", "test_solution.py": "import unittest\nfrom solution import shortest_unique_prefix\n\nclass Test(unittest.TestCase):\n    def test_basic(self):\n        self.assertEqual(\n            shortest_unique_prefix([\"cat\", \"car\", \"dog\"]),\n            [\"cat\", \"car\", \"d\"],\n        )\n    def test_prefix_word(self):\n        self.assertEqual(shortest_unique_prefix([\"a\", \"ab\"]), [\"a\", \"ab\"])\n"}}, "topic": "strings"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-prefix-unique-3f80a8661c59", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.675}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_basic (test_solution.Test.test_basic) ... FAIL\ntest_prefix_word (test_solution.Test.test_prefix_word) ... FAIL\n\n======================================================================\nFAIL: test_basic (test_solution.Test.test_basic)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-cxlkoac3\\test_solution.py\", line 6, in test_basic\n    self.assertEqual(\n    ~~~~~~~~~~~~~~~~^\n        shortest_unique_prefix([\"cat\", \"car\", \"dog\"]),\n        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n        [\"cat\", \"car\", \"d\"],\n        ^^^^^^^^^^^^^^^^^^^^\n    )\n    ^\nAssertionError: Lists differ: ['c', 'c', 'd'] != ['cat', 'car', 'd']\n\nFirst differing element 0:\n'c'\n'cat'\n\n- ['c', 'c', 'd']\n+ ['cat', 'car', 'd']\n?    ++     ++\n\n\n======================================================================\nFAIL: test_prefix_word (test_solution.Test.test_prefix_word)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-cxlkoac3\\test_solution.py\", line 11, in test_prefix_word\n    self.assertEqual(shortest_unique_prefix([\"a\", \"ab\"]), [\"a\", \"ab\"])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['a', 'a'] != ['a', 'ab']\n\nFirst differing element 1:\n'a'\n'ab'\n\n- ['a', 'a']\n+ ['a', 'ab']\n?         +\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "prefix_unique", "tests_passed_after_fix": 2, "topic": "strings"}, "natural_language": "en", "observations": ["Always returns a one-character prefix."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `shortest_unique_prefix(words: list[str]) -> list[str]`.\n\nFor each word, return the shortest prefix that uniquely identifies it among\n`words`. If a word is a prefix of another, the unique prefix is the whole word.\nAssume words are distinct and nonempty.\n\n--- solution.py (buggy) ---\ndef shortest_unique_prefix(words):\n return [w[:1] for w in words]\n\n--- test_solution.py ---\nimport unittest\nfrom solution import shortest_unique_prefix\n\nclass Test(unittest.TestCase):\n def test_basic(self):\n self.assertEqual(\n shortest_unique_prefix([\"cat\", \"car\", \"dog\"]),\n [\"cat\", \"car\", \"d\"],\n )\n def test_prefix_word(self):\n self.assertEqual(shortest_unique_prefix([\"a\", \"ab\"]), [\"a\", \"ab\"])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_basic (test_solution.Test.test_basic) ... FAIL\ntest_prefix_word (test_solution.Test.test_prefix_word) ... FAIL\n\n======================================================================\nFAIL: test_basic (test_solution.Test.test_basic)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-cxlkoac3\\test_solution.py\", line 6, in test_basic\n self.assertEqual(\n ~~~~~~~~~~~~~~~~^\n shortest_unique_prefix([\"cat\", \"car\", \"dog\"]),\n ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n [\"cat\", \"car\", \"d\"],\n ^^^^^^^^^^^^^^^^^^^^\n )\n ^\nAssertionError: Lists differ: ['c', 'c', 'd'] != ['cat', 'car', 'd']\n\nFirst differing element 0:\n'c'\n'cat'\n\n- ['c', 'c', 'd']\n+ ['cat', 'car', 'd']\n? ++ ++\n\n\n======================================================================\nFAIL: test_prefix_word (test_solution.Test.test_prefix_word)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-cxlkoac3\\test_solution.py\", line 11, in test_prefix_word\n self.assertEqual(shortest_unique_prefix([\"a\", \"ab\"]), [\"a\", \"ab\"])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: ['a', 'a'] != ['a', 'ab']\n\nFirs", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:05Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import defaultdict\n\ndef shortest_unique_prefix(words):\n trie = {}\n counts = defaultdict(int)\n for w in words:\n node = trie\n for ch in w:\n node = node.setdefault(ch, {})\n counts[id(node)] += 1\n node[\"$\"] = True\n out = []\n for w in words:\n node = trie\n pref = []\n for ch in w:\n node = node[ch]\n pref.append(ch)\n if counts[id(node)] == 1:\n break\n out.append(\"\".join(pref))\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_basic (test_solution.Test.test_basic) ... ok\ntest_prefix_word (test_solution.Test.test_prefix_word) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def merge_intervals(spans):\n if not spans:\n return []\n items = sorted((s, e) for s, e in spans)\n out = [list(items[0])]\n for s, e in items[1:]:\n if s <= out[-1][1]:\n out[-1][1] = max(out[-1][1], e)\n else:\n out.append([s, e])\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def merge_intervals(spans):\n    if not spans:\n        return []\n    items = sorted((s, e) for s, e in spans)\n    out = [list(items[0])]\n    for s, e in items[1:]:\n        if s <= out[-1][1]:\n            out[-1][1] = max(out[-1][1], e)\n        else:\n            out.append([s, e])\n    return out\n", "test_solution.py": "import unittest\nfrom solution import merge_intervals\n\nclass Test(unittest.TestCase):\n    def test_overlap(self):\n        self.assertEqual(merge_intervals([[1, 3], [2, 6], [8, 10]]), [[1, 6], [8, 10]])\n    def test_touch(self):\n        self.assertEqual(merge_intervals([[1, 2], [2, 3]]), [[1, 3]])\n    def test_empty(self):\n        self.assertEqual(merge_intervals([]), [])\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-interval-merge-44edbe9209a3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.575, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 4.675}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "interval_merge", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `merge_intervals(spans) -> list`.\n\n`spans` is a list of [start, end] integer pairs with start <= end (closed).\nReturn merged disjoint intervals sorted by start.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:05Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def merge_intervals(spans):\n if not spans:\n return []\n items = sorted((s, e) for s, e in spans)\n out = [list(items[0])]\n for s, e in items[1:]:\n if s <= out[-1][1]:\n out[-1][1] = max(out[-1][1], e)\n else:\n out.append([s, e])\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_overlap (test_solution.Test.test_overlap) ... ok\ntest_touch (test_solution.Test.test_touch) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def merge_intervals(spans):\n if not spans:\n return []\n items = sorted((s, e) for s, e in spans)\n out = [list(items[0])]\n for s, e in items[1:]:\n if s <= out[-1][1]:\n out[-1][1] = max(out[-1][1], e)\n else:\n out.append([s, e])\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_overlap (test_solution.Test.test_overlap) ... FAIL\ntest_touch (test_solution.Test.test_touch) ... FAIL\n\n======================================================================\nFAIL: test_overlap (test_solution.Test.test_overlap)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-z610o6sq\\test_solution.py\", line 6, in test_overlap\n    self.assertEqual(merge_intervals([[1, 3], [2, 6], [8, 10]]), [[1, 6], [8, 10]])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1, 3], [2, 6], [8, 10]] != [[1, 6], [8, 10]]\n\nFirst differing element 0:\n[1, 3]\n[1, 6]\n\nFirst list contains 1 additional elements.\nFirst extra element 2:\n[8, 10]\n\n- [[1, 3], [2, 6], [8, 10]]\n?      --------\n\n+ [[1, 6], [8, 10]]\n\n======================================================================\nFAIL: test_touch (test_solution.Test.test_touch)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-z610o6sq\\test_solution.py\", line 8, in test_touch\n    self.assertEqual(merge_intervals([[1, 2], [2, 3]]), [[1, 3]])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1, 2], [2, 3]] != [[1, 3]]\n\nFirst differing element 0:\n[1, 2]\n[1, 3]\n\nFirst list contains 1 additional elements.\nFirst extra element 1:\n[2, 3]\n\n- [[1, 2], [2, 3]]\n+ [[1, 3]]\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "def merge_intervals(spans):\n    return sorted(spans)\n", "test_solution.py": "import unittest\nfrom solution import merge_intervals\n\nclass Test(unittest.TestCase):\n    def test_overlap(self):\n        self.assertEqual(merge_intervals([[1, 3], [2, 6], [8, 10]]), [[1, 6], [8, 10]])\n    def test_touch(self):\n        self.assertEqual(merge_intervals([[1, 2], [2, 3]]), [[1, 3]])\n    def test_empty(self):\n        self.assertEqual(merge_intervals([]), [])\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-interval-merge-e525847a247c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.649999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_overlap (test_solution.Test.test_overlap) ... FAIL\ntest_touch (test_solution.Test.test_touch) ... FAIL\n\n======================================================================\nFAIL: test_overlap (test_solution.Test.test_overlap)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-z610o6sq\\test_solution.py\", line 6, in test_overlap\n    self.assertEqual(merge_intervals([[1, 3], [2, 6], [8, 10]]), [[1, 6], [8, 10]])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1, 3], [2, 6], [8, 10]] != [[1, 6], [8, 10]]\n\nFirst differing element 0:\n[1, 3]\n[1, 6]\n\nFirst list contains 1 additional elements.\nFirst extra element 2:\n[8, 10]\n\n- [[1, 3], [2, 6], [8, 10]]\n?      --------\n\n+ [[1, 6], [8, 10]]\n\n======================================================================\nFAIL: test_touch (test_solution.Test.test_touch)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-z610o6sq\\test_solution.py\", line 8, in test_touch\n    self.assertEqual(merge_intervals([[1, 2], [2, 3]]), [[1, 3]])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1, 2], [2, 3]] != [[1, 3]]\n\nFirst differing element 0:\n[1, 2]\n[1, 3]\n\nFirst list contains 1 additional elements.\nFirst extra element 1:\n[2, 3]\n\n- [[1, 2], [2, 3]]\n+ [[1, 3]]\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "interval_merge", "tests_passed_after_fix": 3, "topic": "algorithms"}, "natural_language": "en", "observations": ["Sorts but never merges overlapping ranges."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `merge_intervals(spans) -> list`.\n\n`spans` is a list of [start, end] integer pairs with start <= end (closed).\nReturn merged disjoint intervals sorted by start.\n\n--- solution.py (buggy) ---\ndef merge_intervals(spans):\n return sorted(spans)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import merge_intervals\n\nclass Test(unittest.TestCase):\n def test_overlap(self):\n self.assertEqual(merge_intervals([[1, 3], [2, 6], [8, 10]]), [[1, 6], [8, 10]])\n def test_touch(self):\n self.assertEqual(merge_intervals([[1, 2], [2, 3]]), [[1, 3]])\n def test_empty(self):\n self.assertEqual(merge_intervals([]), [])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_overlap (test_solution.Test.test_overlap) ... FAIL\ntest_touch (test_solution.Test.test_touch) ... FAIL\n\n======================================================================\nFAIL: test_overlap (test_solution.Test.test_overlap)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-z610o6sq\\test_solution.py\", line 6, in test_overlap\n self.assertEqual(merge_intervals([[1, 3], [2, 6], [8, 10]]), [[1, 6], [8, 10]])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1, 3], [2, 6], [8, 10]] != [[1, 6], [8, 10]]\n\nFirst differing element 0:\n[1, 3]\n[1, 6]\n\nFirst list contains 1 additional elements.\nFirst extra element 2:\n[8, 10]\n\n- [[1, 3], [2, 6], [8, 10]]\n? --------\n\n+ [[1, 6], [8, 10]]\n\n======================================================================\nFAIL: test_touch (test_solution.Test.test_touch)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-z610o6sq\\test_solution.py\", line 8, in test_touch\n self.assertEqual(merge_intervals([[1, 2], [2, 3]]), [[1, 3]])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAs", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:05Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def merge_intervals(spans):\n if not spans:\n return []\n items = sorted((s, e) for s, e in spans)\n out = [list(items[0])]\n for s, e in items[1:]:\n if s <= out[-1][1]:\n out[-1][1] = max(out[-1][1], e)\n else:\n out.append([s, e])\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_overlap (test_solution.Test.test_overlap) ... ok\ntest_touch (test_solution.Test.test_touch) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def flatten(obj, prefix=\"\"):\n if not isinstance(obj, dict):\n return {prefix: obj} if prefix else {\"\": obj}\n out = {}\n for k, v in obj.items():\n key = f\"{prefix}.{k}\" if prefix else str(k)\n if isinstance(v, dict):\n out.update(flatten(v, key))\n else:\n out[key] = v\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def flatten(obj, prefix=\"\"):\n    if not isinstance(obj, dict):\n        return {prefix: obj} if prefix else {\"\": obj}\n    out = {}\n    for k, v in obj.items():\n        key = f\"{prefix}.{k}\" if prefix else str(k)\n        if isinstance(v, dict):\n            out.update(flatten(v, key))\n        else:\n            out[key] = v\n    return out\n", "test_solution.py": "import unittest\nfrom solution import flatten\n\nclass Test(unittest.TestCase):\n    def test_nested(self):\n        self.assertEqual(flatten({\"a\": {\"b\": 1}, \"c\": 2}), {\"a.b\": 1, \"c\": 2})\n    def test_list(self):\n        self.assertEqual(flatten({\"x\": [1, 2]}), {\"x\": [1, 2]})\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-json-flatten-c8dbd5ed1bd4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.7, "tests": 0.0, "total": 4.199999999999999}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "json_flatten", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `flatten(obj, prefix=\"\") -> dict`.\n\nFlatten nested dicts into dotted keys. Lists are not flattened: a list value\nis stored as-is. Non-dict roots return {prefix or \"\": obj}.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def flatten(obj, prefix=\"\"):\n if not isinstance(obj, dict):\n return {prefix: obj} if prefix else {\"\": obj}\n out = {}\n for k, v in obj.items():\n key = f\"{prefix}.{k}\" if prefix else str(k)\n if isinstance(v, dict):\n out.update(flatten(v, key))\n else:\n out[key] = v\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_list (test_solution.Test.test_list) ... ok\ntest_nested (test_solution.Test.test_nested) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def flatten(obj, prefix=\"\"):\n if not isinstance(obj, dict):\n return {prefix: obj} if prefix else {\"\": obj}\n out = {}\n for k, v in obj.items():\n key = f\"{prefix}.{k}\" if prefix else str(k)\n if isinstance(v, dict):\n out.update(flatten(v, key))\n else:\n out[key] = v\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_list (test_solution.Test.test_list) ... ok\ntest_nested (test_solution.Test.test_nested) ... FAIL\n\n======================================================================\nFAIL: test_nested (test_solution.Test.test_nested)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-g0kfeb37\\test_solution.py\", line 6, in test_nested\n    self.assertEqual(flatten({\"a\": {\"b\": 1}, \"c\": 2}), {\"a.b\": 1, \"c\": 2})\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: {'a': {'b': 1}, 'c': 2} != {'a.b': 1, 'c': 2}\n- {'a': {'b': 1}, 'c': 2}\n?    ^^^^^     -\n\n+ {'a.b': 1, 'c': 2}\n?    ^\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def flatten(obj, prefix=\"\"):\n    return obj if isinstance(obj, dict) else {prefix: obj}\n", "test_solution.py": "import unittest\nfrom solution import flatten\n\nclass Test(unittest.TestCase):\n    def test_nested(self):\n        self.assertEqual(flatten({\"a\": {\"b\": 1}, \"c\": 2}), {\"a.b\": 1, \"c\": 2})\n    def test_list(self):\n        self.assertEqual(flatten({\"x\": [1, 2]}), {\"x\": [1, 2]})\n"}}, "topic": "data_structures"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-json-flatten-05654228b13c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.6}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_list (test_solution.Test.test_list) ... ok\ntest_nested (test_solution.Test.test_nested) ... FAIL\n\n======================================================================\nFAIL: test_nested (test_solution.Test.test_nested)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-g0kfeb37\\test_solution.py\", line 6, in test_nested\n    self.assertEqual(flatten({\"a\": {\"b\": 1}, \"c\": 2}), {\"a.b\": 1, \"c\": 2})\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: {'a': {'b': 1}, 'c': 2} != {'a.b': 1, 'c': 2}\n- {'a': {'b': 1}, 'c': 2}\n?    ^^^^^     -\n\n+ {'a.b': 1, 'c': 2}\n?    ^\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "json_flatten", "tests_passed_after_fix": 2, "topic": "data_structures"}, "natural_language": "en", "observations": ["Does not recurse into nested dicts."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `flatten(obj, prefix=\"\") -> dict`.\n\nFlatten nested dicts into dotted keys. Lists are not flattened: a list value\nis stored as-is. Non-dict roots return {prefix or \"\": obj}.\n\n--- solution.py (buggy) ---\ndef flatten(obj, prefix=\"\"):\n return obj if isinstance(obj, dict) else {prefix: obj}\n\n--- test_solution.py ---\nimport unittest\nfrom solution import flatten\n\nclass Test(unittest.TestCase):\n def test_nested(self):\n self.assertEqual(flatten({\"a\": {\"b\": 1}, \"c\": 2}), {\"a.b\": 1, \"c\": 2})\n def test_list(self):\n self.assertEqual(flatten({\"x\": [1, 2]}), {\"x\": [1, 2]})\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_list (test_solution.Test.test_list) ... ok\ntest_nested (test_solution.Test.test_nested) ... FAIL\n\n======================================================================\nFAIL: test_nested (test_solution.Test.test_nested)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-g0kfeb37\\test_solution.py\", line 6, in test_nested\n self.assertEqual(flatten({\"a\": {\"b\": 1}, \"c\": 2}), {\"a.b\": 1, \"c\": 2})\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: {'a': {'b': 1}, 'c': 2} != {'a.b': 1, 'c': 2}\n- {'a': {'b': 1}, 'c': 2}\n? ^^^^^ -\n\n+ {'a.b': 1, 'c': 2}\n? ^\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def flatten(obj, prefix=\"\"):\n if not isinstance(obj, dict):\n return {prefix: obj} if prefix else {\"\": obj}\n out = {}\n for k, v in obj.items():\n key = f\"{prefix}.{k}\" if prefix else str(k)\n if isinstance(v, dict):\n out.update(flatten(v, key))\n else:\n out[key] = v\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_list (test_solution.Test.test_list) ... ok\ntest_nested (test_solution.Test.test_nested) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "from collections import deque\n\ndef max_windows(xs, k):\n n = len(xs)\n if k < 1 or k > n:\n return []\n dq = deque()\n out = []\n for i, val in enumerate(xs):\n while dq and dq[0] <= i - k:\n dq.popleft()\n while dq and xs[dq[-1]] <= val:\n dq.pop()\n dq.append(i)\n if i >= k - 1:\n out.append(xs[dq[0]])\n return out", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import deque\n\ndef max_windows(xs, k):\n    n = len(xs)\n    if k < 1 or k > n:\n        return []\n    dq = deque()\n    out = []\n    for i, val in enumerate(xs):\n        while dq and dq[0] <= i - k:\n            dq.popleft()\n        while dq and xs[dq[-1]] <= val:\n            dq.pop()\n        dq.append(i)\n        if i >= k - 1:\n            out.append(xs[dq[0]])\n    return out\n", "test_solution.py": "import unittest\nfrom solution import max_windows\n\nclass Test(unittest.TestCase):\n    def test_k2(self):\n        self.assertEqual(max_windows([1, 3, 2, 5, 4], 2), [3, 3, 5, 5])\n    def test_bad(self):\n        self.assertEqual(max_windows([1, 2], 3), [])\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-window-max-44b808600141", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 4.775}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "window_max", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `max_windows(xs, k) -> list`.\n\nFor each contiguous window of length k, append the maximum. If k < 1 or\nk > len(xs), return [].", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import deque\n\ndef max_windows(xs, k):\n n = len(xs)\n if k < 1 or k > n:\n return []\n dq = deque()\n out = []\n for i, val in enumerate(xs):\n while dq and dq[0] <= i - k:\n dq.popleft()\n while dq and xs[dq[-1]] <= val:\n dq.pop()\n dq.append(i)\n if i >= k - 1:\n out.append(xs[dq[0]])\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_k2 (test_solution.Test.test_k2) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "from collections import deque\n\ndef max_windows(xs, k):\n n = len(xs)\n if k < 1 or k > n:\n return []\n dq = deque()\n out = []\n for i, val in enumerate(xs):\n while dq and dq[0] <= i - k:\n dq.popleft()\n while dq and xs[dq[-1]] <= val:\n dq.pop()\n dq.append(i)\n if i >= k - 1:\n out.append(xs[dq[0]])\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_bad (test_solution.Test.test_bad) ... ok\ntest_k2 (test_solution.Test.test_k2) ... FAIL\n\n======================================================================\nFAIL: test_k2 (test_solution.Test.test_k2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8jkaanmn\\test_solution.py\", line 6, in test_k2\n    self.assertEqual(max_windows([1, 3, 2, 5, 4], 2), [3, 3, 5, 5])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [5, 5, 5, 5] != [3, 3, 5, 5]\n\nFirst differing element 0:\n5\n3\n\n- [5, 5, 5, 5]\n+ [3, 3, 5, 5]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def max_windows(xs, k):\n    return [max(xs)] * max(0, len(xs) - k + 1)\n", "test_solution.py": "import unittest\nfrom solution import max_windows\n\nclass Test(unittest.TestCase):\n    def test_k2(self):\n        self.assertEqual(max_windows([1, 3, 2, 5, 4], 2), [3, 3, 5, 5])\n    def test_bad(self):\n        self.assertEqual(max_windows([1, 2], 3), [])\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-window-max-98e24028859d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.6}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_k2 (test_solution.Test.test_k2) ... FAIL\n\n======================================================================\nFAIL: test_k2 (test_solution.Test.test_k2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8jkaanmn\\test_solution.py\", line 6, in test_k2\n    self.assertEqual(max_windows([1, 3, 2, 5, 4], 2), [3, 3, 5, 5])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [5, 5, 5, 5] != [3, 3, 5, 5]\n\nFirst differing element 0:\n5\n3\n\n- [5, 5, 5, 5]\n+ [3, 3, 5, 5]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "window_max", "tests_passed_after_fix": 2, "topic": "algorithms"}, "natural_language": "en", "observations": ["Repeats the global max instead of each window max."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `max_windows(xs, k) -> list`.\n\nFor each contiguous window of length k, append the maximum. If k < 1 or\nk > len(xs), return [].\n\n--- solution.py (buggy) ---\ndef max_windows(xs, k):\n return [max(xs)] * max(0, len(xs) - k + 1)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import max_windows\n\nclass Test(unittest.TestCase):\n def test_k2(self):\n self.assertEqual(max_windows([1, 3, 2, 5, 4], 2), [3, 3, 5, 5])\n def test_bad(self):\n self.assertEqual(max_windows([1, 2], 3), [])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_bad (test_solution.Test.test_bad) ... ok\ntest_k2 (test_solution.Test.test_k2) ... FAIL\n\n======================================================================\nFAIL: test_k2 (test_solution.Test.test_k2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-8jkaanmn\\test_solution.py\", line 6, in test_k2\n self.assertEqual(max_windows([1, 3, 2, 5, 4], 2), [3, 3, 5, 5])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [5, 5, 5, 5] != [3, 3, 5, 5]\n\nFirst differing element 0:\n5\n3\n\n- [5, 5, 5, 5]\n+ [3, 3, 5, 5]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import deque\n\ndef max_windows(xs, k):\n n = len(xs)\n if k < 1 or k > n:\n return []\n dq = deque()\n out = []\n for i, val in enumerate(xs):\n while dq and dq[0] <= i - k:\n dq.popleft()\n while dq and xs[dq[-1]] <= val:\n dq.pop()\n dq.append(i)\n if i >= k - 1:\n out.append(xs[dq[0]])\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_k2 (test_solution.Test.test_k2) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def nested_body_count(n):\n return n * (n + 1) // 2", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def nested_body_count(n):\n    return n * (n + 1) // 2\n", "test_solution.py": "import unittest\nfrom solution import nested_body_count\n\nclass Test(unittest.TestCase):\n    def test_n4(self):\n        self.assertEqual(nested_body_count(4), 10)\n    def test_n1(self):\n        self.assertEqual(nested_body_count(1), 1)\n    def test_n0(self):\n        self.assertEqual(nested_body_count(0), 0)\n"}}, "topic": "performance_analysis"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-compare-counts-81c02eb84b8a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.9, "tests": 0.0, "total": 4.975}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "compare_counts", "topic": "performance_analysis"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `nested_body_count(n: int) -> int`.\n\nA loop i from 1..n inclusive, inner j from 1..i inclusive, each inner body\nincrements a counter once. Return that count. This is a checkable complexity\nexercise, not a timing benchmark.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def nested_body_count(n):\n return n * (n + 1) // 2", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "performance_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_n0 (test_solution.Test.test_n0) ... ok\ntest_n1 (test_solution.Test.test_n1) ... ok\ntest_n4 (test_solution.Test.test_n4) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def nested_body_count(n):\n return n * (n + 1) // 2", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_n0 (test_solution.Test.test_n0) ... ok\ntest_n1 (test_solution.Test.test_n1) ... ok\ntest_n4 (test_solution.Test.test_n4) ... FAIL\n\n======================================================================\nFAIL: test_n4 (test_solution.Test.test_n4)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-yexpjyv_\\test_solution.py\", line 6, in test_n4\n    self.assertEqual(nested_body_count(4), 10)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 16 != 10\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def nested_body_count(n):\n    return n * n\n", "test_solution.py": "import unittest\nfrom solution import nested_body_count\n\nclass Test(unittest.TestCase):\n    def test_n4(self):\n        self.assertEqual(nested_body_count(4), 10)\n    def test_n1(self):\n        self.assertEqual(nested_body_count(1), 1)\n    def test_n0(self):\n        self.assertEqual(nested_body_count(0), 0)\n"}}, "topic": "performance_analysis"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-compare-counts-88689f492ac1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.55, "tests": 0.0, "total": 10.2}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_n0 (test_solution.Test.test_n0) ... ok\ntest_n1 (test_solution.Test.test_n1) ... ok\ntest_n4 (test_solution.Test.test_n4) ... FAIL\n\n======================================================================\nFAIL: test_n4 (test_solution.Test.test_n4)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-yexpjyv_\\test_solution.py\", line 6, in test_n4\n    self.assertEqual(nested_body_count(4), 10)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 16 != 10\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "compare_counts", "tests_passed_after_fix": 3, "topic": "performance_analysis"}, "natural_language": "en", "observations": ["Uses n^2 instead of triangular number."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `nested_body_count(n: int) -> int`.\n\nA loop i from 1..n inclusive, inner j from 1..i inclusive, each inner body\nincrements a counter once. Return that count. This is a checkable complexity\nexercise, not a timing benchmark.\n\n--- solution.py (buggy) ---\ndef nested_body_count(n):\n return n * n\n\n--- test_solution.py ---\nimport unittest\nfrom solution import nested_body_count\n\nclass Test(unittest.TestCase):\n def test_n4(self):\n self.assertEqual(nested_body_count(4), 10)\n def test_n1(self):\n self.assertEqual(nested_body_count(1), 1)\n def test_n0(self):\n self.assertEqual(nested_body_count(0), 0)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_n0 (test_solution.Test.test_n0) ... ok\ntest_n1 (test_solution.Test.test_n1) ... ok\ntest_n4 (test_solution.Test.test_n4) ... FAIL\n\n======================================================================\nFAIL: test_n4 (test_solution.Test.test_n4)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-yexpjyv_\\test_solution.py\", line 6, in test_n4\n self.assertEqual(nested_body_count(4), 10)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 16 != 10\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def nested_body_count(n):\n return n * (n + 1) // 2", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_n0 (test_solution.Test.test_n0) ... ok\ntest_n1 (test_solution.Test.test_n1) ... ok\ntest_n4 (test_solution.Test.test_n4) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def normalize_name(text):\n return \" \".join(text.split()).lower()", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def normalize_name(text):\n    return \" \".join(text.split()).lower()\n", "test_solution.py": "import unittest\nfrom solution import normalize_name\n\nclass Test(unittest.TestCase):\n    def test_spaces(self):\n        self.assertEqual(normalize_name(\"  Ada   Lovelace \"), \"ada lovelace\")\n    def test_empty(self):\n        self.assertEqual(normalize_name(\"   \"), \"\")\n"}}, "topic": "refactoring"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-refactor-normalize-5e7ec052ef15", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.675, "tests": 0.0, "total": 3.7}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "refactor_normalize", "topic": "refactoring"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Refactor the inlined logic into `normalize_name(text: str) -> str`.\n\nTrim, collapse internal whitespace to single spaces, and lowercase. Empty\nafter trim is \"\". Callers will import normalize_name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def normalize_name(text):\n return \" \".join(text.split()).lower()", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "refactoring", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_spaces (test_solution.Test.test_spaces) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def normalize_name(text):\n return \" \".join(text.split()).lower()", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_spaces (test_solution.Test.test_spaces) ... FAIL\n\n======================================================================\nFAIL: test_spaces (test_solution.Test.test_spaces)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9sphhqfu\\test_solution.py\", line 6, in test_spaces\n    self.assertEqual(normalize_name(\"  Ada   Lovelace \"), \"ada lovelace\")\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 'ada   lovelace' != 'ada lovelace'\n- ada   lovelace\n?    --\n+ ada lovelace\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def normalize_name(text):\n    return text.strip().lower()\n", "test_solution.py": "import unittest\nfrom solution import normalize_name\n\nclass Test(unittest.TestCase):\n    def test_spaces(self):\n        self.assertEqual(normalize_name(\"  Ada   Lovelace \"), \"ada lovelace\")\n    def test_empty(self):\n        self.assertEqual(normalize_name(\"   \"), \"\")\n"}}, "topic": "refactoring"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-refactor-normalize-ebdf45f54d85", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.55, "tests": 0.0, "total": 10.149999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_spaces (test_solution.Test.test_spaces) ... FAIL\n\n======================================================================\nFAIL: test_spaces (test_solution.Test.test_spaces)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9sphhqfu\\test_solution.py\", line 6, in test_spaces\n    self.assertEqual(normalize_name(\"  Ada   Lovelace \"), \"ada lovelace\")\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 'ada   lovelace' != 'ada lovelace'\n- ada   lovelace\n?    --\n+ ada lovelace\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "refactor_normalize", "tests_passed_after_fix": 2, "topic": "refactoring"}, "natural_language": "en", "observations": ["Does not collapse internal whitespace."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nRefactor the inlined logic into `normalize_name(text: str) -> str`.\n\nTrim, collapse internal whitespace to single spaces, and lowercase. Empty\nafter trim is \"\". Callers will import normalize_name.\n\n--- solution.py (buggy) ---\ndef normalize_name(text):\n return text.strip().lower()\n\n--- test_solution.py ---\nimport unittest\nfrom solution import normalize_name\n\nclass Test(unittest.TestCase):\n def test_spaces(self):\n self.assertEqual(normalize_name(\" Ada Lovelace \"), \"ada lovelace\")\n def test_empty(self):\n self.assertEqual(normalize_name(\" \"), \"\")\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_spaces (test_solution.Test.test_spaces) ... FAIL\n\n======================================================================\nFAIL: test_spaces (test_solution.Test.test_spaces)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9sphhqfu\\test_solution.py\", line 6, in test_spaces\n self.assertEqual(normalize_name(\" Ada Lovelace \"), \"ada lovelace\")\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 'ada lovelace' != 'ada lovelace'\n- ada lovelace\n? --\n+ ada lovelace\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def normalize_name(text):\n return \" \".join(text.split()).lower()", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_spaces (test_solution.Test.test_spaces) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def bisect_left(xs, target):\n lo, hi = 0, len(xs)\n while lo < hi:\n mid = (lo + hi) // 2\n if xs[mid] < target:\n lo = mid + 1\n else:\n hi = mid\n return lo", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def bisect_left(xs, target):\n    lo, hi = 0, len(xs)\n    while lo < hi:\n        mid = (lo + hi) // 2\n        if xs[mid] < target:\n            lo = mid + 1\n        else:\n            hi = mid\n    return lo\n", "test_solution.py": "import unittest\nfrom solution import bisect_left\n\nclass Test(unittest.TestCase):\n    def test_dup(self):\n        self.assertEqual(bisect_left([1, 2, 2, 3], 2), 1)\n    def test_end(self):\n        self.assertEqual(bisect_left([1, 2], 5), 2)\n    def test_empty(self):\n        self.assertEqual(bisect_left([], 1), 0)\n"}}, "topic": "code_completion"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-complete-binary-search-13ed362d4279", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 4.975}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "complete_binary_search", "topic": "code_completion"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Complete `bisect_left(xs, target) -> int` for a sorted list `xs`.\n\nReturn the insertion index of `target` (first position where all earlier\nelements are strictly less). Empty list returns 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def bisect_left(xs, target):\n lo, hi = 0, len(xs)\n while lo < hi:\n mid = (lo + hi) // 2\n if xs[mid] < target:\n lo = mid + 1\n else:\n hi = mid\n return lo", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_completion", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_dup (test_solution.Test.test_dup) ... ok\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_end (test_solution.Test.test_end) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def fizzbuzz(n):\n out = []\n for i in range(1, n + 1):\n if i % 15 == 0:\n out.append(\"FizzBuzz\")\n elif i % 3 == 0:\n out.append(\"Fizz\")\n elif i % 5 == 0:\n out.append(\"Buzz\")\n else:\n out.append(str(i))\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def fizzbuzz(n):\n    out = []\n    for i in range(1, n + 1):\n        if i % 15 == 0:\n            out.append(\"FizzBuzz\")\n        elif i % 3 == 0:\n            out.append(\"Fizz\")\n        elif i % 5 == 0:\n            out.append(\"Buzz\")\n        else:\n            out.append(str(i))\n    return out\n", "test_solution.py": "import unittest\nfrom solution import fizzbuzz\n\nclass Test(unittest.TestCase):\n    def test_15(self):\n        got = fizzbuzz(15)\n        self.assertEqual(got[2], \"Fizz\")\n        self.assertEqual(got[4], \"Buzz\")\n        self.assertEqual(got[14], \"FizzBuzz\")\n        self.assertEqual(got[0], \"1\")\n    def test_len(self):\n        self.assertEqual(len(fizzbuzz(0)), 0)\n"}}, "topic": "test_generation"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-generate-tests-fizz-0d351c803f11", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.65, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 4.375}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "generate_tests_fizz", "topic": "test_generation"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `fizzbuzz(n) -> list[str]` AND keep the unittest class so that\nn=1..15 is fully specified: multiples of 15 are 'FizzBuzz', of 3 'Fizz', of 5\n'Buzz', else the decimal string.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def fizzbuzz(n):\n out = []\n for i in range(1, n + 1):\n if i % 15 == 0:\n out.append(\"FizzBuzz\")\n elif i % 3 == 0:\n out.append(\"Fizz\")\n elif i % 5 == 0:\n out.append(\"Buzz\")\n else:\n out.append(str(i))\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "test_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_15 (test_solution.Test.test_15) ... ok\ntest_len (test_solution.Test.test_len) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def fizzbuzz(n):\n out = []\n for i in range(1, n + 1):\n if i % 15 == 0:\n out.append(\"FizzBuzz\")\n elif i % 3 == 0:\n out.append(\"Fizz\")\n elif i % 5 == 0:\n out.append(\"Buzz\")\n else:\n out.append(str(i))\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_15 (test_solution.Test.test_15) ... FAIL\ntest_len (test_solution.Test.test_len) ... ok\n\n======================================================================\nFAIL: test_15 (test_solution.Test.test_15)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0mqvzxsp\\test_solution.py\", line 7, in test_15\n    self.assertEqual(got[2], \"Fizz\")\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^\nAssertionError: '3' != 'Fizz'\n- 3\n+ Fizz\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def fizzbuzz(n):\n    return [str(i) for i in range(1, n + 1)]\n", "test_solution.py": "import unittest\nfrom solution import fizzbuzz\n\nclass Test(unittest.TestCase):\n    def test_15(self):\n        got = fizzbuzz(15)\n        self.assertEqual(got[2], \"Fizz\")\n        self.assertEqual(got[4], \"Buzz\")\n        self.assertEqual(got[14], \"FizzBuzz\")\n        self.assertEqual(got[0], \"1\")\n    def test_len(self):\n        self.assertEqual(len(fizzbuzz(0)), 0)\n"}}, "topic": "test_generation"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-generate-tests-fizz-8b00ab580451", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.65, "tests": 0.0, "total": 10.35}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_15 (test_solution.Test.test_15) ... FAIL\ntest_len (test_solution.Test.test_len) ... ok\n\n======================================================================\nFAIL: test_15 (test_solution.Test.test_15)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0mqvzxsp\\test_solution.py\", line 7, in test_15\n    self.assertEqual(got[2], \"Fizz\")\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^\nAssertionError: '3' != 'Fizz'\n- 3\n+ Fizz\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "generate_tests_fizz", "tests_passed_after_fix": 2, "topic": "test_generation"}, "natural_language": "en", "observations": ["Never applies Fizz/Buzz rules."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `fizzbuzz(n) -> list[str]` AND keep the unittest class so that\nn=1..15 is fully specified: multiples of 15 are 'FizzBuzz', of 3 'Fizz', of 5\n'Buzz', else the decimal string.\n\n--- solution.py (buggy) ---\ndef fizzbuzz(n):\n return [str(i) for i in range(1, n + 1)]\n\n--- test_solution.py ---\nimport unittest\nfrom solution import fizzbuzz\n\nclass Test(unittest.TestCase):\n def test_15(self):\n got = fizzbuzz(15)\n self.assertEqual(got[2], \"Fizz\")\n self.assertEqual(got[4], \"Buzz\")\n self.assertEqual(got[14], \"FizzBuzz\")\n self.assertEqual(got[0], \"1\")\n def test_len(self):\n self.assertEqual(len(fizzbuzz(0)), 0)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_15 (test_solution.Test.test_15) ... FAIL\ntest_len (test_solution.Test.test_len) ... ok\n\n======================================================================\nFAIL: test_15 (test_solution.Test.test_15)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-0mqvzxsp\\test_solution.py\", line 7, in test_15\n self.assertEqual(got[2], \"Fizz\")\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^\nAssertionError: '3' != 'Fizz'\n- 3\n+ Fizz\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def fizzbuzz(n):\n out = []\n for i in range(1, n + 1):\n if i % 15 == 0:\n out.append(\"FizzBuzz\")\n elif i % 3 == 0:\n out.append(\"Fizz\")\n elif i % 5 == 0:\n out.append(\"Buzz\")\n else:\n out.append(str(i))\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_15 (test_solution.Test.test_15) ... ok\ntest_len (test_solution.Test.test_len) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def first_n(xs, n):\n if n < 0:\n raise ValueError(\"n\")\n return xs[:n]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def first_n(xs, n):\n    if n < 0:\n        raise ValueError(\"n\")\n    return xs[:n]\n", "test_solution.py": "import unittest\nfrom solution import first_n\n\nclass Test(unittest.TestCase):\n    def test_short(self):\n        self.assertEqual(first_n([1, 2, 3], 2), [1, 2])\n    def test_over(self):\n        self.assertEqual(first_n([1], 5), [1])\n    def test_neg(self):\n        with self.assertRaises(ValueError):\n            first_n([1], -1)\n"}}, "topic": "debugging"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-diagnose-off-by-one-slice-764eb0a8569d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.675, "tests": 0.0, "total": 3.7}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "diagnose_off_by_one_slice", "topic": "debugging"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "The intended spec: `first_n(xs, n)` returns the first n items, or all of\nxs if n >= len(xs). n < 0 raises ValueError. Fix the buggy body.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def first_n(xs, n):\n if n < 0:\n raise ValueError(\"n\")\n return xs[:n]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_neg (test_solution.Test.test_neg) ... ok\ntest_over (test_solution.Test.test_over) ... ok\ntest_short (test_solution.Test.test_short) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def first_n(xs, n):\n if n < 0:\n raise ValueError(\"n\")\n return xs[:n]", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_neg (test_solution.Test.test_neg) ... FAIL\ntest_over (test_solution.Test.test_over) ... ok\ntest_short (test_solution.Test.test_short) ... FAIL\n\n======================================================================\nFAIL: test_neg (test_solution.Test.test_neg)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xblgdj5f\\test_solution.py\", line 10, in test_neg\n    with self.assertRaises(ValueError):\n         ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: ValueError not raised\n\n======================================================================\nFAIL: test_short (test_solution.Test.test_short)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xblgdj5f\\test_solution.py\", line 6, in test_short\n    self.assertEqual(first_n([1, 2, 3], 2), [1, 2])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [1] != [1, 2]\n\nSecond list contains 1 additional elements.\nFirst extra element 1:\n2\n\n- [1]\n+ [1, 2]\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "def first_n(xs, n):\n    return xs[: n - 1]\n", "test_solution.py": "import unittest\nfrom solution import first_n\n\nclass Test(unittest.TestCase):\n    def test_short(self):\n        self.assertEqual(first_n([1, 2, 3], 2), [1, 2])\n    def test_over(self):\n        self.assertEqual(first_n([1], 5), [1])\n    def test_neg(self):\n        with self.assertRaises(ValueError):\n            first_n([1], -1)\n"}}, "topic": "debugging"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-diagnose-off-by-one-slice-9e3ed843f12d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.675}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_neg (test_solution.Test.test_neg) ... FAIL\ntest_over (test_solution.Test.test_over) ... ok\ntest_short (test_solution.Test.test_short) ... FAIL\n\n======================================================================\nFAIL: test_neg (test_solution.Test.test_neg)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xblgdj5f\\test_solution.py\", line 10, in test_neg\n    with self.assertRaises(ValueError):\n         ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: ValueError not raised\n\n======================================================================\nFAIL: test_short (test_solution.Test.test_short)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xblgdj5f\\test_solution.py\", line 6, in test_short\n    self.assertEqual(first_n([1, 2, 3], 2), [1, 2])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [1] != [1, 2]\n\nSecond list contains 1 additional elements.\nFirst extra element 1:\n2\n\n- [1]\n+ [1, 2]\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "diagnose_off_by_one_slice", "tests_passed_after_fix": 3, "topic": "debugging"}, "natural_language": "en", "observations": ["Uses n-1 as the slice end and ignores negative n."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nThe intended spec: `first_n(xs, n)` returns the first n items, or all of\nxs if n >= len(xs). n < 0 raises ValueError. Fix the buggy body.\n\n--- solution.py (buggy) ---\ndef first_n(xs, n):\n return xs[: n - 1]\n\n--- test_solution.py ---\nimport unittest\nfrom solution import first_n\n\nclass Test(unittest.TestCase):\n def test_short(self):\n self.assertEqual(first_n([1, 2, 3], 2), [1, 2])\n def test_over(self):\n self.assertEqual(first_n([1], 5), [1])\n def test_neg(self):\n with self.assertRaises(ValueError):\n first_n([1], -1)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_neg (test_solution.Test.test_neg) ... FAIL\ntest_over (test_solution.Test.test_over) ... ok\ntest_short (test_solution.Test.test_short) ... FAIL\n\n======================================================================\nFAIL: test_neg (test_solution.Test.test_neg)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xblgdj5f\\test_solution.py\", line 10, in test_neg\n with self.assertRaises(ValueError):\n ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: ValueError not raised\n\n======================================================================\nFAIL: test_short (test_solution.Test.test_short)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-xblgdj5f\\test_solution.py\", line 6, in test_short\n self.assertEqual(first_n([1, 2, 3], 2), [1, 2])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [1] != [1, 2]\n\nSecond list contains 1 additional elements.\nFirst extra element 1:\n2\n\n- [1]\n+ [1, 2]\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def first_n(xs, n):\n if n < 0:\n raise ValueError(\"n\")\n return xs[:n]", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_neg (test_solution.Test.test_neg) ... ok\ntest_over (test_solution.Test.test_over) ... ok\ntest_short (test_solution.Test.test_short) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def components(n, edges):\n parent = list(range(n))\n\n def find(x):\n while parent[x] != x:\n parent[x] = parent[parent[x]]\n x = parent[x]\n return x\n\n def union(a, b):\n ra, rb = find(a), find(b)\n if ra != rb:\n parent[rb] = ra\n\n for a, b in edges:\n union(a, b)\n return len({find(i) for i in range(n)})", "assumptions": [], "concept_id": "python.loops", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def components(n, edges):\n    parent = list(range(n))\n\n    def find(x):\n        while parent[x] != x:\n            parent[x] = parent[parent[x]]\n            x = parent[x]\n        return x\n\n    def union(a, b):\n        ra, rb = find(a), find(b)\n        if ra != rb:\n            parent[rb] = ra\n\n    for a, b in edges:\n        union(a, b)\n    return len({find(i) for i in range(n)})\n", "test_solution.py": "import unittest\nfrom solution import components\n\nclass Test(unittest.TestCase):\n    def test_two(self):\n        self.assertEqual(components(4, [(0, 1), (1, 0), (2, 3)]), 2)\n    def test_isolated(self):\n        self.assertEqual(components(3, []), 3)\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-union-find-count-1c80b5cee10f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.675, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.125}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "union_find_count", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `components(n, edges) -> int`.\n\nNodes are 0..n-1. `edges` is a list of undirected pairs. Return the number of\nconnected components (isolated nodes count).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def components(n, edges):\n parent = list(range(n))\n\n def find(x):\n while parent[x] != x:\n parent[x] = parent[parent[x]]\n x = parent[x]\n return x\n\n def union(a, b):\n ra, rb = find(a), find(b)\n if ra != rb:\n parent[rb] = ra\n\n for a, b in edges:\n union(a, b)\n return len({find(i) for i in range(n)})", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "algorithm_design", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_isolated (test_solution.Test.test_isolated) ... ok\ntest_two (test_solution.Test.test_two) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def components(n, edges):\n parent = list(range(n))\n\n def find(x):\n while parent[x] != x:\n parent[x] = parent[parent[x]]\n x = parent[x]\n return x\n\n def union(a, b):\n ra, rb = find(a), find(b)\n if ra != rb:\n parent[rb] = ra\n\n for a, b in edges:\n union(a, b)\n return len({find(i) for i in range(n)})", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_isolated (test_solution.Test.test_isolated) ... ok\ntest_two (test_solution.Test.test_two) ... FAIL\n\n======================================================================\nFAIL: test_two (test_solution.Test.test_two)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-b7fw_ep9\\test_solution.py\", line 6, in test_two\n    self.assertEqual(components(4, [(0, 1), (1, 0), (2, 3)]), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != 2\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def components(n, edges):\n    return n - len(edges)\n", "test_solution.py": "import unittest\nfrom solution import components\n\nclass Test(unittest.TestCase):\n    def test_two(self):\n        self.assertEqual(components(4, [(0, 1), (1, 0), (2, 3)]), 2)\n    def test_isolated(self):\n        self.assertEqual(components(3, []), 3)\n"}}, "topic": "data_structures"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-union-find-count-ec07a9ec328c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.4, "tests": 0.0, "total": 10.0}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_isolated (test_solution.Test.test_isolated) ... ok\ntest_two (test_solution.Test.test_two) ... FAIL\n\n======================================================================\nFAIL: test_two (test_solution.Test.test_two)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-b7fw_ep9\\test_solution.py\", line 6, in test_two\n    self.assertEqual(components(4, [(0, 1), (1, 0), (2, 3)]), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != 2\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "union_find_count", "tests_passed_after_fix": 2, "topic": "data_structures"}, "natural_language": "en", "observations": ["Treats every edge as merging two unique components."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `components(n, edges) -> int`.\n\nNodes are 0..n-1. `edges` is a list of undirected pairs. Return the number of\nconnected components (isolated nodes count).\n\n--- solution.py (buggy) ---\ndef components(n, edges):\n return n - len(edges)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import components\n\nclass Test(unittest.TestCase):\n def test_two(self):\n self.assertEqual(components(4, [(0, 1), (1, 0), (2, 3)]), 2)\n def test_isolated(self):\n self.assertEqual(components(3, []), 3)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_isolated (test_solution.Test.test_isolated) ... ok\ntest_two (test_solution.Test.test_two) ... FAIL\n\n======================================================================\nFAIL: test_two (test_solution.Test.test_two)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-b7fw_ep9\\test_solution.py\", line 6, in test_two\n self.assertEqual(components(4, [(0, 1), (1, 0), (2, 3)]), 2)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != 2\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:06Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def components(n, edges):\n parent = list(range(n))\n\n def find(x):\n while parent[x] != x:\n parent[x] = parent[parent[x]]\n x = parent[x]\n return x\n\n def union(a, b):\n ra, rb = find(a), find(b)\n if ra != rb:\n parent[rb] = ra\n\n for a, b in edges:\n union(a, b)\n return len({find(i) for i in range(n)})", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_isolated (test_solution.Test.test_isolated) ... ok\ntest_two (test_solution.Test.test_two) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def kth_smallest(xs, k):\n if k < 1 or k > len(xs):\n raise IndexError(\"k\")\n return sorted(xs)[k - 1]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def kth_smallest(xs, k):\n    if k < 1 or k > len(xs):\n        raise IndexError(\"k\")\n    return sorted(xs)[k - 1]\n", "test_solution.py": "import unittest\nfrom solution import kth_smallest\n\nclass Test(unittest.TestCase):\n    def test_k(self):\n        self.assertEqual(kth_smallest([7, 1, 5, 3], 2), 3)\n    def test_bad(self):\n        with self.assertRaises(IndexError):\n            kth_smallest([1], 2)\n"}}, "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-heap-kth-fb335a13cf00", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.7, "tests": 0.0, "total": 4.3}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "heap_kth", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `kth_smallest(xs, k) -> int`.\n\n1-based k. Return the k-th smallest element of xs (distinctness not required).\nRaise IndexError if k is out of range. You may sort.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def kth_smallest(xs, k):\n if k < 1 or k > len(xs):\n raise IndexError(\"k\")\n return sorted(xs)[k - 1]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_k (test_solution.Test.test_k) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def kth_smallest(xs, k):\n if k < 1 or k > len(xs):\n raise IndexError(\"k\")\n return sorted(xs)[k - 1]", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_bad (test_solution.Test.test_bad) ... ok\ntest_k (test_solution.Test.test_k) ... FAIL\n\n======================================================================\nFAIL: test_k (test_solution.Test.test_k)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-em7qhwxo\\test_solution.py\", line 6, in test_k\n    self.assertEqual(kth_smallest([7, 1, 5, 3], 2), 3)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 5 != 3\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def kth_smallest(xs, k):\n    return xs[k]\n", "test_solution.py": "import unittest\nfrom solution import kth_smallest\n\nclass Test(unittest.TestCase):\n    def test_k(self):\n        self.assertEqual(kth_smallest([7, 1, 5, 3], 2), 3)\n    def test_bad(self):\n        with self.assertRaises(IndexError):\n            kth_smallest([1], 2)\n"}}, "topic": "algorithms"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-heap-kth-57e3e196fee1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.375, "tests": 0.0, "total": 10.0}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_k (test_solution.Test.test_k) ... FAIL\n\n======================================================================\nFAIL: test_k (test_solution.Test.test_k)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-em7qhwxo\\test_solution.py\", line 6, in test_k\n    self.assertEqual(kth_smallest([7, 1, 5, 3], 2), 3)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 5 != 3\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "heap_kth", "tests_passed_after_fix": 2, "topic": "algorithms"}, "natural_language": "en", "observations": ["Uses unsorted 0-based indexing."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `kth_smallest(xs, k) -> int`.\n\n1-based k. Return the k-th smallest element of xs (distinctness not required).\nRaise IndexError if k is out of range. You may sort.\n\n--- solution.py (buggy) ---\ndef kth_smallest(xs, k):\n return xs[k]\n\n--- test_solution.py ---\nimport unittest\nfrom solution import kth_smallest\n\nclass Test(unittest.TestCase):\n def test_k(self):\n self.assertEqual(kth_smallest([7, 1, 5, 3], 2), 3)\n def test_bad(self):\n with self.assertRaises(IndexError):\n kth_smallest([1], 2)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_bad (test_solution.Test.test_bad) ... ok\ntest_k (test_solution.Test.test_k) ... FAIL\n\n======================================================================\nFAIL: test_k (test_solution.Test.test_k)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-em7qhwxo\\test_solution.py\", line 6, in test_k\n self.assertEqual(kth_smallest([7, 1, 5, 3], 2), 3)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 5 != 3\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def kth_smallest(xs, k):\n if k < 1 or k > len(xs):\n raise IndexError(\"k\")\n return sorted(xs)[k - 1]", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_k (test_solution.Test.test_k) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import hashlib\n\ndef bucket(key, n):\n digest = hashlib.md5(key.encode(\"utf-8\")).hexdigest()\n return int(digest[:8], 16) % n", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import hashlib\n\ndef bucket(key, n):\n    digest = hashlib.md5(key.encode(\"utf-8\")).hexdigest()\n    return int(digest[:8], 16) % n\n", "test_solution.py": "import unittest\nfrom solution import bucket\n\nclass Test(unittest.TestCase):\n    def test_range(self):\n        b = bucket(\"alpha\", 10)\n        self.assertGreaterEqual(b, 0)\n        self.assertLess(b, 10)\n    def test_stable(self):\n        self.assertEqual(bucket(\"alpha\", 10), bucket(\"alpha\", 10))\n    def test_known(self):\n        import hashlib\n        expected = int(hashlib.md5(b\"alpha\").hexdigest()[:8], 16) % 10\n        self.assertEqual(bucket(\"alpha\", 10), expected)\n"}}, "topic": "hashing"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-sha-length-independent-c97767a478e5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.925, "tests": 0.0, "total": 4.675000000000001}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "sha_length_independent", "topic": "hashing"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `bucket(key: str, n: int) -> int`.\n\nReturn a bucket in 0..n-1 using Python's stable hash of the UTF-8 bytes via\nhashlib.md5 (first 8 hex digits as int) so tests are deterministic across\nprocesses. n > 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import hashlib\n\ndef bucket(key, n):\n digest = hashlib.md5(key.encode(\"utf-8\")).hexdigest()\n return int(digest[:8], 16) % n", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_known (test_solution.Test.test_known) ... ok\ntest_range (test_solution.Test.test_range) ... ok\ntest_stable (test_solution.Test.test_stable) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "import hashlib\n\ndef bucket(key, n):\n digest = hashlib.md5(key.encode(\"utf-8\")).hexdigest()\n return int(digest[:8], 16) % n", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_known (test_solution.Test.test_known) ... FAIL\ntest_range (test_solution.Test.test_range) ... ok\ntest_stable (test_solution.Test.test_stable) ... ok\n\n======================================================================\nFAIL: test_known (test_solution.Test.test_known)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ro9djynm\\test_solution.py\", line 14, in test_known\n    self.assertEqual(bucket(\"alpha\", 10), expected)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 5 != 7\n\n----------------------------------------------------------------------\nRan 3 tests in 0.004s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def bucket(key, n):\n    return len(key) % n\n", "test_solution.py": "import unittest\nfrom solution import bucket\n\nclass Test(unittest.TestCase):\n    def test_range(self):\n        b = bucket(\"alpha\", 10)\n        self.assertGreaterEqual(b, 0)\n        self.assertLess(b, 10)\n    def test_stable(self):\n        self.assertEqual(bucket(\"alpha\", 10), bucket(\"alpha\", 10))\n    def test_known(self):\n        import hashlib\n        expected = int(hashlib.md5(b\"alpha\").hexdigest()[:8], 16) % 10\n        self.assertEqual(bucket(\"alpha\", 10), expected)\n"}}, "topic": "hashing"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-sha-length-independent-e367a5b77779", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.75}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_known (test_solution.Test.test_known) ... FAIL\ntest_range (test_solution.Test.test_range) ... ok\ntest_stable (test_solution.Test.test_stable) ... ok\n\n======================================================================\nFAIL: test_known (test_solution.Test.test_known)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ro9djynm\\test_solution.py\", line 14, in test_known\n    self.assertEqual(bucket(\"alpha\", 10), expected)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 5 != 7\n\n----------------------------------------------------------------------\nRan 3 tests in 0.004s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 2}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "sha_length_independent", "tests_passed_after_fix": 3, "topic": "hashing"}, "natural_language": "en", "observations": ["Uses string length, so different keys collide by design."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `bucket(key: str, n: int) -> int`.\n\nReturn a bucket in 0..n-1 using Python's stable hash of the UTF-8 bytes via\nhashlib.md5 (first 8 hex digits as int) so tests are deterministic across\nprocesses. n > 0.\n\n--- solution.py (buggy) ---\ndef bucket(key, n):\n return len(key) % n\n\n--- test_solution.py ---\nimport unittest\nfrom solution import bucket\n\nclass Test(unittest.TestCase):\n def test_range(self):\n b = bucket(\"alpha\", 10)\n self.assertGreaterEqual(b, 0)\n self.assertLess(b, 10)\n def test_stable(self):\n self.assertEqual(bucket(\"alpha\", 10), bucket(\"alpha\", 10))\n def test_known(self):\n import hashlib\n expected = int(hashlib.md5(b\"alpha\").hexdigest()[:8], 16) % 10\n self.assertEqual(bucket(\"alpha\", 10), expected)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_known (test_solution.Test.test_known) ... FAIL\ntest_range (test_solution.Test.test_range) ... ok\ntest_stable (test_solution.Test.test_stable) ... ok\n\n======================================================================\nFAIL: test_known (test_solution.Test.test_known)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-ro9djynm\\test_solution.py\", line 14, in test_known\n self.assertEqual(bucket(\"alpha\", 10), expected)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 5 != 7\n\n----------------------------------------------------------------------\nRan 3 tests in 0.004s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import hashlib\n\ndef bucket(key, n):\n digest = hashlib.md5(key.encode(\"utf-8\")).hexdigest()\n return int(digest[:8], 16) % n", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_known (test_solution.Test.test_known) ... ok\ntest_range (test_solution.Test.test_range) ... ok\ntest_stable (test_solution.Test.test_stable) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def second_pass(xs):\n data = list(xs)\n return data, list(data)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def second_pass(xs):\n    data = list(xs)\n    return data, list(data)\n", "test_solution.py": "import unittest\nfrom solution import second_pass\n\nclass Test(unittest.TestCase):\n    def test_gen(self):\n        a, b = second_pass(i for i in range(3))\n        self.assertEqual(a, [0, 1, 2])\n        self.assertEqual(b, [0, 1, 2])\n    def test_list(self):\n        src = [1, 2]\n        a, b = second_pass(src)\n        self.assertEqual(a, [1, 2])\n        self.assertEqual(src, [1, 2])\n"}}, "topic": "iterators"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-iterator-tee-safe-b5e86d4e225d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.825, "tests": 0.0, "total": 4.125}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "iterator_tee_safe", "topic": "iterators"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `second_pass(xs) -> tuple`.\n\nConsume an iterable twice: return (list first pass, list second pass) with\nequal contents even if `xs` is a one-shot iterator. Do not mutate a list\ninput in place.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def second_pass(xs):\n data = list(xs)\n return data, list(data)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_gen (test_solution.Test.test_gen) ... ok\ntest_list (test_solution.Test.test_list) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def second_pass(xs):\n data = list(xs)\n return data, list(data)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_gen (test_solution.Test.test_gen) ... FAIL\ntest_list (test_solution.Test.test_list) ... ok\n\n======================================================================\nFAIL: test_gen (test_solution.Test.test_gen)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-s0pkcqax\\test_solution.py\", line 8, in test_gen\n    self.assertEqual(b, [0, 1, 2])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != [0, 1, 2]\n\nSecond list contains 3 additional elements.\nFirst extra element 0:\n0\n\n- []\n+ [0, 1, 2]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def second_pass(xs):\n    return list(xs), list(xs)\n", "test_solution.py": "import unittest\nfrom solution import second_pass\n\nclass Test(unittest.TestCase):\n    def test_gen(self):\n        a, b = second_pass(i for i in range(3))\n        self.assertEqual(a, [0, 1, 2])\n        self.assertEqual(b, [0, 1, 2])\n    def test_list(self):\n        src = [1, 2]\n        a, b = second_pass(src)\n        self.assertEqual(a, [1, 2])\n        self.assertEqual(src, [1, 2])\n"}}, "topic": "iterators"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-iterator-tee-safe-74d7222d4c38", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.725}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_gen (test_solution.Test.test_gen) ... FAIL\ntest_list (test_solution.Test.test_list) ... ok\n\n======================================================================\nFAIL: test_gen (test_solution.Test.test_gen)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-s0pkcqax\\test_solution.py\", line 8, in test_gen\n    self.assertEqual(b, [0, 1, 2])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != [0, 1, 2]\n\nSecond list contains 3 additional elements.\nFirst extra element 0:\n0\n\n- []\n+ [0, 1, 2]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "iterator_tee_safe", "tests_passed_after_fix": 2, "topic": "iterators"}, "natural_language": "en", "observations": ["Second list(xs) on a generator is empty."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `second_pass(xs) -> tuple`.\n\nConsume an iterable twice: return (list first pass, list second pass) with\nequal contents even if `xs` is a one-shot iterator. Do not mutate a list\ninput in place.\n\n--- solution.py (buggy) ---\ndef second_pass(xs):\n return list(xs), list(xs)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import second_pass\n\nclass Test(unittest.TestCase):\n def test_gen(self):\n a, b = second_pass(i for i in range(3))\n self.assertEqual(a, [0, 1, 2])\n self.assertEqual(b, [0, 1, 2])\n def test_list(self):\n src = [1, 2]\n a, b = second_pass(src)\n self.assertEqual(a, [1, 2])\n self.assertEqual(src, [1, 2])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_gen (test_solution.Test.test_gen) ... FAIL\ntest_list (test_solution.Test.test_list) ... ok\n\n======================================================================\nFAIL: test_gen (test_solution.Test.test_gen)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-s0pkcqax\\test_solution.py\", line 8, in test_gen\n self.assertEqual(b, [0, 1, 2])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != [0, 1, 2]\n\nSecond list contains 3 additional elements.\nFirst extra element 0:\n0\n\n- []\n+ [0, 1, 2]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def second_pass(xs):\n data = list(xs)\n return data, list(data)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_gen (test_solution.Test.test_gen) ... ok\ntest_list (test_solution.Test.test_list) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import tempfile\nfrom pathlib import Path\n\ndef line_count(text):\n with tempfile.NamedTemporaryFile(\"w\", encoding=\"utf-8\", delete=False) as fh:\n fh.write(text)\n path = fh.name\n try:\n data = Path(path).read_text(encoding=\"utf-8\")\n if data == \"\":\n return 0\n return len(data.splitlines())\n finally:\n Path(path).unlink(missing_ok=True)", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import tempfile\nfrom pathlib import Path\n\ndef line_count(text):\n    with tempfile.NamedTemporaryFile(\"w\", encoding=\"utf-8\", delete=False) as fh:\n        fh.write(text)\n        path = fh.name\n    try:\n        data = Path(path).read_text(encoding=\"utf-8\")\n        if data == \"\":\n            return 0\n        return len(data.splitlines())\n    finally:\n        Path(path).unlink(missing_ok=True)\n", "test_solution.py": "import unittest\nfrom solution import line_count\n\nclass Test(unittest.TestCase):\n    def test_two(self):\n        self.assertEqual(line_count(\"a\\nb\"), 2)\n    def test_empty(self):\n        self.assertEqual(line_count(\"\"), 0)\n"}}, "topic": "file_io"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-context-tempfile-count-12114989f94e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.05, "tests": 0.0, "total": 5.0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "context_tempfile_count", "topic": "file_io"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `line_count(text: str) -> int` by writing `text` to a temp file\nwith UTF-8, reading it back, and counting splitlines(). Empty text is 0 lines\nif it has no newline and no characters; a single newline is 1 empty line\n(`splitlines` behaviour).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import tempfile\nfrom pathlib import Path\n\ndef line_count(text):\n with tempfile.NamedTemporaryFile(\"w\", encoding=\"utf-8\", delete=False) as fh:\n fh.write(text)\n path = fh.name\n try:\n data = Path(path).read_text(encoding=\"utf-8\")\n if data == \"\":\n return 0\n return len(data.splitlines())\n finally:\n Path(path).unlink(missing_ok=True)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_two (test_solution.Test.test_two) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.003s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import tempfile\nfrom pathlib import Path\n\ndef line_count(text):\n with tempfile.NamedTemporaryFile(\"w\", encoding=\"utf-8\", delete=False) as fh:\n fh.write(text)\n path = fh.name\n try:\n data = Path(path).read_text(encoding=\"utf-8\")\n if data == \"\":\n return 0\n return len(data.splitlines())\n finally:\n Path(path).unlink(missing_ok=True)", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_two (test_solution.Test.test_two) ... FAIL\n\n======================================================================\nFAIL: test_two (test_solution.Test.test_two)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4c0mveyv\\test_solution.py\", line 6, in test_two\n    self.assertEqual(line_count(\"a\\nb\"), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != 2\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def line_count(text):\n    return text.count(\"\\n\")\n", "test_solution.py": "import unittest\nfrom solution import line_count\n\nclass Test(unittest.TestCase):\n    def test_two(self):\n        self.assertEqual(line_count(\"a\\nb\"), 2)\n    def test_empty(self):\n        self.assertEqual(line_count(\"\"), 0)\n"}}, "topic": "file_io"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-context-tempfile-count-e7710049ffaf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.45, "tests": 0.0, "total": 10.05}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_two (test_solution.Test.test_two) ... FAIL\n\n======================================================================\nFAIL: test_two (test_solution.Test.test_two)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4c0mveyv\\test_solution.py\", line 6, in test_two\n    self.assertEqual(line_count(\"a\\nb\"), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != 2\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "context_tempfile_count", "tests_passed_after_fix": 2, "topic": "file_io"}, "natural_language": "en", "observations": ["Counts newline characters, so 'a' is 0 instead of 1."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `line_count(text: str) -> int` by writing `text` to a temp file\nwith UTF-8, reading it back, and counting splitlines(). Empty text is 0 lines\nif it has no newline and no characters; a single newline is 1 empty line\n(`splitlines` behaviour).\n\n--- solution.py (buggy) ---\ndef line_count(text):\n return text.count(\"\\n\")\n\n--- test_solution.py ---\nimport unittest\nfrom solution import line_count\n\nclass Test(unittest.TestCase):\n def test_two(self):\n self.assertEqual(line_count(\"a\\nb\"), 2)\n def test_empty(self):\n self.assertEqual(line_count(\"\"), 0)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_two (test_solution.Test.test_two) ... FAIL\n\n======================================================================\nFAIL: test_two (test_solution.Test.test_two)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-4c0mveyv\\test_solution.py\", line 6, in test_two\n self.assertEqual(line_count(\"a\\nb\"), 2)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != 2\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import tempfile\nfrom pathlib import Path\n\ndef line_count(text):\n with tempfile.NamedTemporaryFile(\"w\", encoding=\"utf-8\", delete=False) as fh:\n fh.write(text)\n path = fh.name\n try:\n data = Path(path).read_text(encoding=\"utf-8\")\n if data == \"\":\n return 0\n return len(data.splitlines())\n finally:\n Path(path).unlink(missing_ok=True)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_two (test_solution.Test.test_two) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.003s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def once(fn):\n state = {\"value\": None, \"done\": False}\n\n def wrapper(*args, **kwargs):\n if not state[\"done\"]:\n state[\"value\"] = fn(*args, **kwargs)\n state[\"done\"] = True\n wrapper.called = True\n return state[\"value\"]\n\n wrapper.called = False\n return wrapper", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def once(fn):\n    state = {\"value\": None, \"done\": False}\n\n    def wrapper(*args, **kwargs):\n        if not state[\"done\"]:\n            state[\"value\"] = fn(*args, **kwargs)\n            state[\"done\"] = True\n            wrapper.called = True\n        return state[\"value\"]\n\n    wrapper.called = False\n    return wrapper\n", "test_solution.py": "import unittest\nfrom solution import once\n\nclass Test(unittest.TestCase):\n    def test_once(self):\n        n = {\"c\": 0}\n        def f():\n            n[\"c\"] += 1\n            return n[\"c\"]\n        g = once(f)\n        self.assertFalse(g.called)\n        self.assertEqual(g(), 1)\n        self.assertEqual(g(), 1)\n        self.assertTrue(g.called)\n        self.assertEqual(n[\"c\"], 1)\n"}}, "topic": "functions"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-decorator-once-a30c347faeba", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.725, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 5.425000000000001}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "decorator_once", "topic": "functions"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `once(fn)` returning a wrapper that calls `fn` at most once and\nreuses the first return value. The wrapper must have a `.called` bool.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def once(fn):\n state = {\"value\": None, \"done\": False}\n\n def wrapper(*args, **kwargs):\n if not state[\"done\"]:\n state[\"value\"] = fn(*args, **kwargs)\n state[\"done\"] = True\n wrapper.called = True\n return state[\"value\"]\n\n wrapper.called = False\n return wrapper", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_once (test_solution.Test.test_once) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def once(fn):\n state = {\"value\": None, \"done\": False}\n\n def wrapper(*args, **kwargs):\n if not state[\"done\"]:\n state[\"value\"] = fn(*args, **kwargs)\n state[\"done\"] = True\n wrapper.called = True\n return state[\"value\"]\n\n wrapper.called = False\n return wrapper", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_once (test_solution.Test.test_once) ... FAIL\n\n======================================================================\nFAIL: test_once (test_solution.Test.test_once)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-p6egh8bt\\test_solution.py\", line 13, in test_once\n    self.assertEqual(g(), 1)\n    ~~~~~~~~~~~~~~~~^^^^^^^^\nAssertionError: 2 != 1\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def once(fn):\n    def wrapper(*args, **kwargs):\n        return fn(*args, **kwargs)\n    wrapper.called = False\n    return wrapper\n", "test_solution.py": "import unittest\nfrom solution import once\n\nclass Test(unittest.TestCase):\n    def test_once(self):\n        n = {\"c\": 0}\n        def f():\n            n[\"c\"] += 1\n            return n[\"c\"]\n        g = once(f)\n        self.assertFalse(g.called)\n        self.assertEqual(g(), 1)\n        self.assertEqual(g(), 1)\n        self.assertTrue(g.called)\n        self.assertEqual(n[\"c\"], 1)\n"}}, "topic": "functions"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-decorator-once-07775097d3a1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.525, "tests": 0.0, "total": 10.375}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_once (test_solution.Test.test_once) ... FAIL\n\n======================================================================\nFAIL: test_once (test_solution.Test.test_once)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-p6egh8bt\\test_solution.py\", line 13, in test_once\n    self.assertEqual(g(), 1)\n    ~~~~~~~~~~~~~~~~^^^^^^^^\nAssertionError: 2 != 1\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "decorator_once", "tests_passed_after_fix": 1, "topic": "functions"}, "natural_language": "en", "observations": ["Calls fn every time and never sets called."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `once(fn)` returning a wrapper that calls `fn` at most once and\nreuses the first return value. The wrapper must have a `.called` bool.\n\n--- solution.py (buggy) ---\ndef once(fn):\n def wrapper(*args, **kwargs):\n return fn(*args, **kwargs)\n wrapper.called = False\n return wrapper\n\n--- test_solution.py ---\nimport unittest\nfrom solution import once\n\nclass Test(unittest.TestCase):\n def test_once(self):\n n = {\"c\": 0}\n def f():\n n[\"c\"] += 1\n return n[\"c\"]\n g = once(f)\n self.assertFalse(g.called)\n self.assertEqual(g(), 1)\n self.assertEqual(g(), 1)\n self.assertTrue(g.called)\n self.assertEqual(n[\"c\"], 1)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_once (test_solution.Test.test_once) ... FAIL\n\n======================================================================\nFAIL: test_once (test_solution.Test.test_once)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-p6egh8bt\\test_solution.py\", line 13, in test_once\n self.assertEqual(g(), 1)\n ~~~~~~~~~~~~~~~~^^^^^^^^\nAssertionError: 2 != 1\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def once(fn):\n state = {\"value\": None, \"done\": False}\n\n def wrapper(*args, **kwargs):\n if not state[\"done\"]:\n state[\"value\"] = fn(*args, **kwargs)\n state[\"done\"] = True\n wrapper.called = True\n return state[\"value\"]\n\n wrapper.called = False\n return wrapper", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_once (test_solution.Test.test_once) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def matmul(a, b):\n if not a or not b:\n raise ValueError(\"empty\")\n n = len(a[0])\n if any(len(row) != n for row in a):\n raise ValueError(\"ragged a\")\n p = len(b[0])\n if any(len(row) != p for row in b):\n raise ValueError(\"ragged b\")\n if len(b) != n:\n raise ValueError(\"shape\")\n out = []\n for i in range(len(a)):\n row = []\n for j in range(p):\n s = 0\n for k in range(n):\n s += a[i][k] * b[k][j]\n row.append(s)\n out.append(row)\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def matmul(a, b):\n    if not a or not b:\n        raise ValueError(\"empty\")\n    n = len(a[0])\n    if any(len(row) != n for row in a):\n        raise ValueError(\"ragged a\")\n    p = len(b[0])\n    if any(len(row) != p for row in b):\n        raise ValueError(\"ragged b\")\n    if len(b) != n:\n        raise ValueError(\"shape\")\n    out = []\n    for i in range(len(a)):\n        row = []\n        for j in range(p):\n            s = 0\n            for k in range(n):\n                s += a[i][k] * b[k][j]\n            row.append(s)\n        out.append(row)\n    return out\n", "test_solution.py": "import unittest\nfrom solution import matmul\n\nclass Test(unittest.TestCase):\n    def test_2x2(self):\n        self.assertEqual(matmul([[1, 2], [3, 4]], [[5, 6], [7, 8]]), [[19, 22], [43, 50]])\n    def test_shape(self):\n        with self.assertRaises(ValueError):\n            matmul([[1, 2]], [[1], [2], [3]])\n"}}, "topic": "linear_algebra"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-matrix-multiply-f936b2b25711", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.8, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.675, "tests": 0.0, "total": 4.575}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "matrix_multiply", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `matmul(a, b)` for dense lists of lists of ints.\n\na is m×n, b is n×p. Return m×p. Raise ValueError on shape mismatch or empty\nouter list.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def matmul(a, b):\n if not a or not b:\n raise ValueError(\"empty\")\n n = len(a[0])\n if any(len(row) != n for row in a):\n raise ValueError(\"ragged a\")\n p = len(b[0])\n if any(len(row) != p for row in b):\n raise ValueError(\"ragged b\")\n if len(b) != n:\n raise ValueError(\"shape\")\n out = []\n for i in range(len(a)):\n row = []\n for j in range(p):\n s = 0\n for k in range(n):\n s += a[i][k] * b[k][j]\n row.append(s)\n out.append(row)\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_2x2 (test_solution.Test.test_2x2) ... ok\ntest_shape (test_solution.Test.test_shape) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def matmul(a, b):\n if not a or not b:\n raise ValueError(\"empty\")\n n = len(a[0])\n if any(len(row) != n for row in a):\n raise ValueError(\"ragged a\")\n p = len(b[0])\n if any(len(row) != p for row in b):\n raise ValueError(\"ragged b\")\n if len(b) != n:\n raise ValueError(\"shape\")\n out = []\n for i in range(len(a)):\n row = []\n for j in range(p):\n s = 0\n for k in range(n):\n s += a[i][k] * b[k][j]\n row.append(s)\n out.append(row)\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_2x2 (test_solution.Test.test_2x2) ... FAIL\ntest_shape (test_solution.Test.test_shape) ... FAIL\n\n======================================================================\nFAIL: test_2x2 (test_solution.Test.test_2x2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-_rfo9wd3\\test_solution.py\", line 6, in test_2x2\n    self.assertEqual(matmul([[1, 2], [3, 4]], [[5, 6], [7, 8]]), [[19, 22], [43, 50]])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1, 2], [3, 4]] != [[19, 22], [43, 50]]\n\nFirst differing element 0:\n[1, 2]\n[19, 22]\n\n- [[1, 2], [3, 4]]\n?              ^\n\n+ [[19, 22], [43, 50]]\n?    +  +     +   ^^\n\n\n======================================================================\nFAIL: test_shape (test_solution.Test.test_shape)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-_rfo9wd3\\test_solution.py\", line 8, in test_shape\n    with self.assertRaises(ValueError):\n         ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: ValueError not raised\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "def matmul(a, b):\n    return a\n", "test_solution.py": "import unittest\nfrom solution import matmul\n\nclass Test(unittest.TestCase):\n    def test_2x2(self):\n        self.assertEqual(matmul([[1, 2], [3, 4]], [[5, 6], [7, 8]]), [[19, 22], [43, 50]])\n    def test_shape(self):\n        with self.assertRaises(ValueError):\n            matmul([[1, 2]], [[1], [2], [3]])\n"}}, "topic": "linear_algebra"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-matrix-multiply-54d36128e8c4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.625}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_2x2 (test_solution.Test.test_2x2) ... FAIL\ntest_shape (test_solution.Test.test_shape) ... FAIL\n\n======================================================================\nFAIL: test_2x2 (test_solution.Test.test_2x2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-_rfo9wd3\\test_solution.py\", line 6, in test_2x2\n    self.assertEqual(matmul([[1, 2], [3, 4]], [[5, 6], [7, 8]]), [[19, 22], [43, 50]])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1, 2], [3, 4]] != [[19, 22], [43, 50]]\n\nFirst differing element 0:\n[1, 2]\n[19, 22]\n\n- [[1, 2], [3, 4]]\n?              ^\n\n+ [[19, 22], [43, 50]]\n?    +  +     +   ^^\n\n\n======================================================================\nFAIL: test_shape (test_solution.Test.test_shape)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-_rfo9wd3\\test_solution.py\", line 8, in test_shape\n    with self.assertRaises(ValueError):\n         ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: ValueError not raised\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "matrix_multiply", "tests_passed_after_fix": 2, "topic": "linear_algebra"}, "natural_language": "en", "observations": ["Returns the left matrix unchanged."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `matmul(a, b)` for dense lists of lists of ints.\n\na is m×n, b is n×p. Return m×p. Raise ValueError on shape mismatch or empty\nouter list.\n\n--- solution.py (buggy) ---\ndef matmul(a, b):\n return a\n\n--- test_solution.py ---\nimport unittest\nfrom solution import matmul\n\nclass Test(unittest.TestCase):\n def test_2x2(self):\n self.assertEqual(matmul([[1, 2], [3, 4]], [[5, 6], [7, 8]]), [[19, 22], [43, 50]])\n def test_shape(self):\n with self.assertRaises(ValueError):\n matmul([[1, 2]], [[1], [2], [3]])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_2x2 (test_solution.Test.test_2x2) ... FAIL\ntest_shape (test_solution.Test.test_shape) ... FAIL\n\n======================================================================\nFAIL: test_2x2 (test_solution.Test.test_2x2)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-_rfo9wd3\\test_solution.py\", line 6, in test_2x2\n self.assertEqual(matmul([[1, 2], [3, 4]], [[5, 6], [7, 8]]), [[19, 22], [43, 50]])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [[1, 2], [3, 4]] != [[19, 22], [43, 50]]\n\nFirst differing element 0:\n[1, 2]\n[19, 22]\n\n- [[1, 2], [3, 4]]\n? ^\n\n+ [[19, 22], [43, 50]]\n? + + + ^^\n\n\n======================================================================\nFAIL: test_shape (test_solution.Test.test_shape)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-_rfo9wd3\\test_solution.py\", line 8, in test_shape\n with self.assertRaises(ValueError):\n ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^\nAssertionError: ValueError not raised\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def matmul(a, b):\n if not a or not b:\n raise ValueError(\"empty\")\n n = len(a[0])\n if any(len(row) != n for row in a):\n raise ValueError(\"ragged a\")\n p = len(b[0])\n if any(len(row) != p for row in b):\n raise ValueError(\"ragged b\")\n if len(b) != n:\n raise ValueError(\"shape\")\n out = []\n for i in range(len(a)):\n row = []\n for j in range(p):\n s = 0\n for k in range(n):\n s += a[i][k] * b[k][j]\n row.append(s)\n out.append(row)\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_2x2 (test_solution.Test.test_2x2) ... ok\ntest_shape (test_solution.Test.test_shape) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import re\n\ndef local_parts(text):\n pat = re.compile(r\"\\b([A-Za-z0-9._-]+)@([A-Za-z0-9._-]+\\.[A-Za-z0-9._-]+)\\b\")\n seen = []\n found = set()\n for local, _dom in pat.findall(text):\n if local not in found:\n found.add(local)\n seen.append(local)\n return seen", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\n\ndef local_parts(text):\n    pat = re.compile(r\"\\b([A-Za-z0-9._-]+)@([A-Za-z0-9._-]+\\.[A-Za-z0-9._-]+)\\b\")\n    seen = []\n    found = set()\n    for local, _dom in pat.findall(text):\n        if local not in found:\n            found.add(local)\n            seen.append(local)\n    return seen\n", "test_solution.py": "import unittest\nfrom solution import local_parts\n\nclass Test(unittest.TestCase):\n    def test_two(self):\n        self.assertEqual(\n            local_parts(\"mail ada@ex.org then ada@ex.org and bob@site.co.uk\"),\n            [\"ada\", \"bob\"],\n        )\n    def test_none(self):\n        self.assertEqual(local_parts(\"no mail here\"), [])\n"}}, "topic": "strings"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-regex-emails-2e1757eacb1a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.85, "tests": 0.0, "total": 7.05}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "regex_emails", "topic": "strings"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `local_parts(text: str) -> list[str]`.\n\nFind emails of the form local@domain where local and domain are nonempty\nruns of [A-Za-z0-9._-], domain contains at least one dot, and return unique\nlocal parts in first-seen order.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:07Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\n\ndef local_parts(text):\n pat = re.compile(r\"\\b([A-Za-z0-9._-]+)@([A-Za-z0-9._-]+\\.[A-Za-z0-9._-]+)\\b\")\n seen = []\n found = set()\n for local, _dom in pat.findall(text):\n if local not in found:\n found.add(local)\n seen.append(local)\n return seen", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_none (test_solution.Test.test_none) ... ok\ntest_two (test_solution.Test.test_two) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def select(rows, pred, cols):\n out = []\n for row in rows:\n if pred(row):\n out.append({c: row[c] for c in cols})\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def select(rows, pred, cols):\n    out = []\n    for row in rows:\n        if pred(row):\n            out.append({c: row[c] for c in cols})\n    return out\n", "test_solution.py": "import unittest\nfrom solution import select\n\nclass Test(unittest.TestCase):\n    def test_filter(self):\n        rows = [{\"n\": \"a\", \"v\": 1}, {\"n\": \"b\", \"v\": 2}]\n        got = select(rows, lambda r: r[\"v\"] > 1, [\"n\"])\n        self.assertEqual(got, [{\"n\": \"b\"}])\n    def test_none(self):\n        self.assertEqual(select([], lambda r: True, [\"n\"]), [])\n"}}, "topic": "data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-sqlish-select-ac1bd6e8a1eb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.925, "tests": 0.0, "total": 4.1000000000000005}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "sqlish_select", "topic": "data_structures"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `select(rows, pred, cols) -> list`.\n\n`rows` is a list of dicts. `pred(row)` is a callable. `cols` is a list of keys.\nReturn dicts with only those keys, in input order, for rows where pred is true.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def select(rows, pred, cols):\n out = []\n for row in rows:\n if pred(row):\n out.append({c: row[c] for c in cols})\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_filter (test_solution.Test.test_filter) ... ok\ntest_none (test_solution.Test.test_none) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def select(rows, pred, cols):\n out = []\n for row in rows:\n if pred(row):\n out.append({c: row[c] for c in cols})\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_filter (test_solution.Test.test_filter) ... FAIL\ntest_none (test_solution.Test.test_none) ... ok\n\n======================================================================\nFAIL: test_filter (test_solution.Test.test_filter)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-2eo40i_8\\test_solution.py\", line 8, in test_filter\n    self.assertEqual(got, [{\"n\": \"b\"}])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [{'n': 'a', 'v': 1}, {'n': 'b', 'v': 2}] != [{'n': 'b'}]\n\nFirst differing element 0:\n{'n': 'a', 'v': 1}\n{'n': 'b'}\n\nFirst list contains 1 additional elements.\nFirst extra element 1:\n{'n': 'b', 'v': 2}\n\n- [{'n': 'a', 'v': 1}, {'n': 'b', 'v': 2}]\n+ [{'n': 'b'}]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def select(rows, pred, cols):\n    return rows\n", "test_solution.py": "import unittest\nfrom solution import select\n\nclass Test(unittest.TestCase):\n    def test_filter(self):\n        rows = [{\"n\": \"a\", \"v\": 1}, {\"n\": \"b\", \"v\": 2}]\n        got = select(rows, lambda r: r[\"v\"] > 1, [\"n\"])\n        self.assertEqual(got, [{\"n\": \"b\"}])\n    def test_none(self):\n        self.assertEqual(select([], lambda r: True, [\"n\"]), [])\n"}}, "topic": "data_structures"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-sqlish-select-ecbcea2662d8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.649999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_filter (test_solution.Test.test_filter) ... FAIL\ntest_none (test_solution.Test.test_none) ... ok\n\n======================================================================\nFAIL: test_filter (test_solution.Test.test_filter)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-2eo40i_8\\test_solution.py\", line 8, in test_filter\n    self.assertEqual(got, [{\"n\": \"b\"}])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [{'n': 'a', 'v': 1}, {'n': 'b', 'v': 2}] != [{'n': 'b'}]\n\nFirst differing element 0:\n{'n': 'a', 'v': 1}\n{'n': 'b'}\n\nFirst list contains 1 additional elements.\nFirst extra element 1:\n{'n': 'b', 'v': 2}\n\n- [{'n': 'a', 'v': 1}, {'n': 'b', 'v': 2}]\n+ [{'n': 'b'}]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "sqlish_select", "tests_passed_after_fix": 2, "topic": "data_structures"}, "natural_language": "en", "observations": ["Ignores predicate and column projection."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `select(rows, pred, cols) -> list`.\n\n`rows` is a list of dicts. `pred(row)` is a callable. `cols` is a list of keys.\nReturn dicts with only those keys, in input order, for rows where pred is true.\n\n--- solution.py (buggy) ---\ndef select(rows, pred, cols):\n return rows\n\n--- test_solution.py ---\nimport unittest\nfrom solution import select\n\nclass Test(unittest.TestCase):\n def test_filter(self):\n rows = [{\"n\": \"a\", \"v\": 1}, {\"n\": \"b\", \"v\": 2}]\n got = select(rows, lambda r: r[\"v\"] > 1, [\"n\"])\n self.assertEqual(got, [{\"n\": \"b\"}])\n def test_none(self):\n self.assertEqual(select([], lambda r: True, [\"n\"]), [])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_filter (test_solution.Test.test_filter) ... FAIL\ntest_none (test_solution.Test.test_none) ... ok\n\n======================================================================\nFAIL: test_filter (test_solution.Test.test_filter)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-2eo40i_8\\test_solution.py\", line 8, in test_filter\n self.assertEqual(got, [{\"n\": \"b\"}])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [{'n': 'a', 'v': 1}, {'n': 'b', 'v': 2}] != [{'n': 'b'}]\n\nFirst differing element 0:\n{'n': 'a', 'v': 1}\n{'n': 'b'}\n\nFirst list contains 1 additional elements.\nFirst extra element 1:\n{'n': 'b', 'v': 2}\n\n- [{'n': 'a', 'v': 1}, {'n': 'b', 'v': 2}]\n+ [{'n': 'b'}]\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def select(rows, pred, cols):\n out = []\n for row in rows:\n if pred(row):\n out.append({c: row[c] for c in cols})\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_filter (test_solution.Test.test_filter) ... ok\ntest_none (test_solution.Test.test_none) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "class TokenBucket:\n def __init__(self, rate, burst):\n self.rate = rate\n self.burst = burst\n self.tokens = float(burst)\n self.t = None\n\n def allow(self, now_s, cost=1):\n if self.t is None:\n self.t = now_s\n else:\n dt = now_s - self.t\n self.tokens = min(self.burst, self.tokens + dt * self.rate)\n self.t = now_s\n if self.tokens >= cost:\n self.tokens -= cost\n return True\n return False", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "class TokenBucket:\n    def __init__(self, rate, burst):\n        self.rate = rate\n        self.burst = burst\n        self.tokens = float(burst)\n        self.t = None\n\n    def allow(self, now_s, cost=1):\n        if self.t is None:\n            self.t = now_s\n        else:\n            dt = now_s - self.t\n            self.tokens = min(self.burst, self.tokens + dt * self.rate)\n            self.t = now_s\n        if self.tokens >= cost:\n            self.tokens -= cost\n            return True\n        return False\n", "test_solution.py": "import unittest\nfrom solution import TokenBucket\n\nclass Test(unittest.TestCase):\n    def test_burst(self):\n        b = TokenBucket(1, 2)\n        self.assertTrue(b.allow(0))\n        self.assertTrue(b.allow(0))\n        self.assertFalse(b.allow(0))\n        self.assertTrue(b.allow(1.0))\n"}}, "topic": "systems"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-rate-limit-tokens-7ad67ade42fc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.75, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 5.35}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "rate_limit_tokens", "topic": "systems"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement class `TokenBucket(rate, burst)` with `allow(now_s, cost=1) -> bool`.\n\n`rate` tokens per second, `burst` max tokens. Start full. `now_s` is a\nnondecreasing float clock. Fractional tokens are allowed. Deny if cost exceeds\navailable after refill.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "class TokenBucket:\n def __init__(self, rate, burst):\n self.rate = rate\n self.burst = burst\n self.tokens = float(burst)\n self.t = None\n\n def allow(self, now_s, cost=1):\n if self.t is None:\n self.t = now_s\n else:\n dt = now_s - self.t\n self.tokens = min(self.burst, self.tokens + dt * self.rate)\n self.t = now_s\n if self.tokens >= cost:\n self.tokens -= cost\n return True\n return False", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_burst (test_solution.Test.test_burst) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "class TokenBucket:\n def __init__(self, rate, burst):\n self.rate = rate\n self.burst = burst\n self.tokens = float(burst)\n self.t = None\n\n def allow(self, now_s, cost=1):\n if self.t is None:\n self.t = now_s\n else:\n dt = now_s - self.t\n self.tokens = min(self.burst, self.tokens + dt * self.rate)\n self.t = now_s\n if self.tokens >= cost:\n self.tokens -= cost\n return True\n return False", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_burst (test_solution.Test.test_burst) ... FAIL\n\n======================================================================\nFAIL: test_burst (test_solution.Test.test_burst)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-lv4ho0er\\test_solution.py\", line 10, in test_burst\n    self.assertTrue(b.allow(1.0))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "class TokenBucket:\n    def __init__(self, rate, burst):\n        self.burst = burst\n        self.n = 0\n\n    def allow(self, now_s, cost=1):\n        self.n += cost\n        return self.n <= self.burst\n", "test_solution.py": "import unittest\nfrom solution import TokenBucket\n\nclass Test(unittest.TestCase):\n    def test_burst(self):\n        b = TokenBucket(1, 2)\n        self.assertTrue(b.allow(0))\n        self.assertTrue(b.allow(0))\n        self.assertFalse(b.allow(0))\n        self.assertTrue(b.allow(1.0))\n"}}, "topic": "systems"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-rate-limit-tokens-495c2dc6a169", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.5, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.7, "tests": 0.0, "total": 10.5}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_burst (test_solution.Test.test_burst) ... FAIL\n\n======================================================================\nFAIL: test_burst (test_solution.Test.test_burst)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-lv4ho0er\\test_solution.py\", line 10, in test_burst\n    self.assertTrue(b.allow(1.0))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "rate_limit_tokens", "tests_passed_after_fix": 1, "topic": "systems"}, "natural_language": "en", "observations": ["Never refills; only counts total allows against burst."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement class `TokenBucket(rate, burst)` with `allow(now_s, cost=1) -> bool`.\n\n`rate` tokens per second, `burst` max tokens. Start full. `now_s` is a\nnondecreasing float clock. Fractional tokens are allowed. Deny if cost exceeds\navailable after refill.\n\n--- solution.py (buggy) ---\nclass TokenBucket:\n def __init__(self, rate, burst):\n self.burst = burst\n self.n = 0\n\n def allow(self, now_s, cost=1):\n self.n += cost\n return self.n <= self.burst\n\n--- test_solution.py ---\nimport unittest\nfrom solution import TokenBucket\n\nclass Test(unittest.TestCase):\n def test_burst(self):\n b = TokenBucket(1, 2)\n self.assertTrue(b.allow(0))\n self.assertTrue(b.allow(0))\n self.assertFalse(b.allow(0))\n self.assertTrue(b.allow(1.0))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_burst (test_solution.Test.test_burst) ... FAIL\n\n======================================================================\nFAIL: test_burst (test_solution.Test.test_burst)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-lv4ho0er\\test_solution.py\", line 10, in test_burst\n self.assertTrue(b.allow(1.0))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "class TokenBucket:\n def __init__(self, rate, burst):\n self.rate = rate\n self.burst = burst\n self.tokens = float(burst)\n self.t = None\n\n def allow(self, now_s, cost=1):\n if self.t is None:\n self.t = now_s\n else:\n dt = now_s - self.t\n self.tokens = min(self.burst, self.tokens + dt * self.rate)\n self.t = now_s\n if self.tokens >= cost:\n self.tokens -= cost\n return True\n return False", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_burst (test_solution.Test.test_burst) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def rle(text):\n if not text:\n return \"\"\n out = []\n prev = text[0]\n n = 1\n for ch in text[1:]:\n if ch == prev:\n n += 1\n else:\n out.append(f\"{prev}{n}\")\n prev, n = ch, 1\n out.append(f\"{prev}{n}\")\n return \"\".join(out)", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def rle(text):\n    if not text:\n        return \"\"\n    out = []\n    prev = text[0]\n    n = 1\n    for ch in text[1:]:\n        if ch == prev:\n            n += 1\n        else:\n            out.append(f\"{prev}{n}\")\n            prev, n = ch, 1\n    out.append(f\"{prev}{n}\")\n    return \"\".join(out)\n", "test_solution.py": "import unittest\nfrom solution import rle\n\nclass Test(unittest.TestCase):\n    def test_runs(self):\n        self.assertEqual(rle(\"aaabbc\"), \"a3b2c1\")\n    def test_empty(self):\n        self.assertEqual(rle(\"\"), \"\")\n"}}, "topic": "strings"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-run-length-269441d4816f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 4.325}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-run-length", "topic": "strings"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `rle(text: str) -> str` run-length encoding: groups of\nrepeated characters become `{char}{count}` with count always written, even if 1.\nEmpty string → empty string.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def rle(text):\n if not text:\n return \"\"\n out = []\n prev = text[0]\n n = 1\n for ch in text[1:]:\n if ch == prev:\n n += 1\n else:\n out.append(f\"{prev}{n}\")\n prev, n = ch, 1\n out.append(f\"{prev}{n}\")\n return \"\".join(out)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_runs (test_solution.Test.test_runs) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def rle(text):\n if not text:\n return \"\"\n out = []\n prev = text[0]\n n = 1\n for ch in text[1:]:\n if ch == prev:\n n += 1\n else:\n out.append(f\"{prev}{n}\")\n prev, n = ch, 1\n out.append(f\"{prev}{n}\")\n return \"\".join(out)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_runs (test_solution.Test.test_runs) ... FAIL\n\n======================================================================\nFAIL: test_runs (test_solution.Test.test_runs)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-mp0kzw33\\test_solution.py\", line 6, in test_runs\n    self.assertEqual(rle(\"aaabbc\"), \"a3b2c1\")\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 'a1a1a4' != 'a3b2c1'\n- a1a1a4\n+ a3b2c1\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def rle(text):\n    if not text:\n        return \"\"\n    out = []\n    prev = text[0]\n    n = 1\n    for ch in text[1:]:\n        if ch != prev:\n            n += 1\n        else:\n            out.append(f\"{prev}{n}\")\n            prev, n = ch, 1\n    out.append(f\"{prev}{n}\")\n    return \"\".join(out)\n", "test_solution.py": "import unittest\nfrom solution import rle\n\nclass Test(unittest.TestCase):\n    def test_runs(self):\n        self.assertEqual(rle(\"aaabbc\"), \"a3b2c1\")\n    def test_empty(self):\n        self.assertEqual(rle(\"\"), \"\")\n"}}, "topic": "strings"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-v102-run-length-b48cc35c8424", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.95, "tests": 0.0, "total": 10.85}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_runs (test_solution.Test.test_runs) ... FAIL\n\n======================================================================\nFAIL: test_runs (test_solution.Test.test_runs)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-mp0kzw33\\test_solution.py\", line 6, in test_runs\n    self.assertEqual(rle(\"aaabbc\"), \"a3b2c1\")\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 'a1a1a4' != 'a3b2c1'\n- a1a1a4\n+ a3b2c1\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-run-length", "tests_passed_after_fix": 2, "topic": "strings"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `rle(text: str) -> str` run-length encoding: groups of\nrepeated characters become `{char}{count}` with count always written, even if 1.\nEmpty string → empty string.\n\n--- solution.py (buggy) ---\ndef rle(text):\n if not text:\n return \"\"\n out = []\n prev = text[0]\n n = 1\n for ch in text[1:]:\n if ch != prev:\n n += 1\n else:\n out.append(f\"{prev}{n}\")\n prev, n = ch, 1\n out.append(f\"{prev}{n}\")\n return \"\".join(out)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import rle\n\nclass Test(unittest.TestCase):\n def test_runs(self):\n self.assertEqual(rle(\"aaabbc\"), \"a3b2c1\")\n def test_empty(self):\n self.assertEqual(rle(\"\"), \"\")\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ok\ntest_runs (test_solution.Test.test_runs) ... FAIL\n\n======================================================================\nFAIL: test_runs (test_solution.Test.test_runs)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-mp0kzw33\\test_solution.py\", line 6, in test_runs\n self.assertEqual(rle(\"aaabbc\"), \"a3b2c1\")\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 'a1a1a4' != 'a3b2c1'\n- a1a1a4\n+ a3b2c1\n\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def rle(text):\n if not text:\n return \"\"\n out = []\n prev = text[0]\n n = 1\n for ch in text[1:]:\n if ch == prev:\n n += 1\n else:\n out.append(f\"{prev}{n}\")\n prev, n = ch, 1\n out.append(f\"{prev}{n}\")\n return \"\".join(out)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_runs (test_solution.Test.test_runs) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "from collections import Counter\n\ndef same_multiset(a, b):\n return Counter(a) == Counter(b)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import Counter\n\ndef same_multiset(a, b):\n    return Counter(a) == Counter(b)\n", "test_solution.py": "import unittest\nfrom solution import same_multiset\n\nclass Test(unittest.TestCase):\n    def test_yes(self):\n        self.assertTrue(same_multiset(\"abba\", \"baba\"))\n    def test_no(self):\n        self.assertFalse(same_multiset(\"ab\", \"a\"))\n"}}, "topic": "strings"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-balanced-same-66ad652a816a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 3.6}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-balanced-same", "topic": "strings"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `same_multiset(a: str, b: str) -> bool`: True iff a and b\ncontain the same characters with the same frequencies (anagrams).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import Counter\n\ndef same_multiset(a, b):\n return Counter(a) == Counter(b)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_no (test_solution.Test.test_no) ... ok\ntest_yes (test_solution.Test.test_yes) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "from collections import Counter\n\ndef same_multiset(a, b):\n return Counter(a) == Counter(b)", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_no (test_solution.Test.test_no) ... FAIL\ntest_yes (test_solution.Test.test_yes) ... FAIL\n\n======================================================================\nFAIL: test_no (test_solution.Test.test_no)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-79p09q0a\\test_solution.py\", line 8, in test_no\n    self.assertFalse(same_multiset(\"ab\", \"a\"))\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True is not false\n\n======================================================================\nFAIL: test_yes (test_solution.Test.test_yes)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-79p09q0a\\test_solution.py\", line 6, in test_yes\n    self.assertTrue(same_multiset(\"abba\", \"baba\"))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "from collections import Counter\n\ndef same_multiset(a, b):\n    return Counter(a) != Counter(b)\n", "test_solution.py": "import unittest\nfrom solution import same_multiset\n\nclass Test(unittest.TestCase):\n    def test_yes(self):\n        self.assertTrue(same_multiset(\"abba\", \"baba\"))\n    def test_no(self):\n        self.assertFalse(same_multiset(\"ab\", \"a\"))\n"}}, "topic": "strings"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-v102-balanced-same-215754adc95a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.725, "tests": 0.0, "total": 10.375}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_no (test_solution.Test.test_no) ... FAIL\ntest_yes (test_solution.Test.test_yes) ... FAIL\n\n======================================================================\nFAIL: test_no (test_solution.Test.test_no)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-79p09q0a\\test_solution.py\", line 8, in test_no\n    self.assertFalse(same_multiset(\"ab\", \"a\"))\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True is not false\n\n======================================================================\nFAIL: test_yes (test_solution.Test.test_yes)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-79p09q0a\\test_solution.py\", line 6, in test_yes\n    self.assertTrue(same_multiset(\"abba\", \"baba\"))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-balanced-same", "tests_passed_after_fix": 2, "topic": "strings"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `same_multiset(a: str, b: str) -> bool`: True iff a and b\ncontain the same characters with the same frequencies (anagrams).\n\n--- solution.py (buggy) ---\nfrom collections import Counter\n\ndef same_multiset(a, b):\n return Counter(a) != Counter(b)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import same_multiset\n\nclass Test(unittest.TestCase):\n def test_yes(self):\n self.assertTrue(same_multiset(\"abba\", \"baba\"))\n def test_no(self):\n self.assertFalse(same_multiset(\"ab\", \"a\"))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_no (test_solution.Test.test_no) ... FAIL\ntest_yes (test_solution.Test.test_yes) ... FAIL\n\n======================================================================\nFAIL: test_no (test_solution.Test.test_no)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-79p09q0a\\test_solution.py\", line 8, in test_no\n self.assertFalse(same_multiset(\"ab\", \"a\"))\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: True is not false\n\n======================================================================\nFAIL: test_yes (test_solution.Test.test_yes)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-79p09q0a\\test_solution.py\", line 6, in test_yes\n self.assertTrue(same_multiset(\"abba\", \"baba\"))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=2)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import Counter\n\ndef same_multiset(a, b):\n return Counter(a) == Counter(b)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_no (test_solution.Test.test_no) ... ok\ntest_yes (test_solution.Test.test_yes) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def moving_avg(xs, k):\n if k <= 0:\n raise ValueError(\"k\")\n if k > len(xs):\n return []\n out = []\n s = sum(xs[:k])\n out.append(s / k)\n for i in range(k, len(xs)):\n s += xs[i] - xs[i - k]\n out.append(s / k)\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def moving_avg(xs, k):\n    if k <= 0:\n        raise ValueError(\"k\")\n    if k > len(xs):\n        return []\n    out = []\n    s = sum(xs[:k])\n    out.append(s / k)\n    for i in range(k, len(xs)):\n        s += xs[i] - xs[i - k]\n        out.append(s / k)\n    return out\n", "test_solution.py": "import unittest\nfrom solution import moving_avg\n\nclass Test(unittest.TestCase):\n    def test_win(self):\n        self.assertEqual(moving_avg([1, 2, 3, 4], 2), [1.5, 2.5, 3.5])\n    def test_too_big(self):\n        self.assertEqual(moving_avg([1], 3), [])\n"}}, "topic": "arrays"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-moving-avg-f03389ee8665", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 5.4}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-moving-avg", "topic": "arrays"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `moving_avg(xs: list[float], k: int) -> list[float]`.\nReturn simple moving averages of window k (k>=1). Output length is\nlen(xs)-k+1, or [] if k > len(xs).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def moving_avg(xs, k):\n if k <= 0:\n raise ValueError(\"k\")\n if k > len(xs):\n return []\n out = []\n s = sum(xs[:k])\n out.append(s / k)\n for i in range(k, len(xs)):\n s += xs[i] - xs[i - k]\n out.append(s / k)\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_too_big (test_solution.Test.test_too_big) ... ok\ntest_win (test_solution.Test.test_win) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def clamp(x, lo, hi):\n if lo > hi:\n raise ValueError(\"range\")\n return max(lo, min(hi, x))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def clamp(x, lo, hi):\n    if lo > hi:\n        raise ValueError(\"range\")\n    return max(lo, min(hi, x))\n", "test_solution.py": "import unittest\nfrom solution import clamp\n\nclass Test(unittest.TestCase):\n    def test_mid(self):\n        self.assertEqual(clamp(5, 0, 10), 5)\n    def test_lo(self):\n        self.assertEqual(clamp(-1, 0, 10), 0)\n    def test_hi(self):\n        self.assertEqual(clamp(99, 0, 10), 10)\n"}}, "topic": "math"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-clamp-c727245faf92", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.45}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-clamp", "topic": "math"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `clamp(x: int, lo: int, hi: int) -> int` with lo <= hi.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def clamp(x, lo, hi):\n if lo > hi:\n raise ValueError(\"range\")\n return max(lo, min(hi, x))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_hi (test_solution.Test.test_hi) ... ok\ntest_lo (test_solution.Test.test_lo) ... ok\ntest_mid (test_solution.Test.test_mid) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def rotate_left(xs, k):\n n = len(xs)\n if n == 0:\n return []\n k = k % n\n return xs[k:] + xs[:k]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def rotate_left(xs, k):\n    n = len(xs)\n    if n == 0:\n        return []\n    k = k % n\n    return xs[k:] + xs[:k]\n", "test_solution.py": "import unittest\nfrom solution import rotate_left\n\nclass Test(unittest.TestCase):\n    def test_rot(self):\n        self.assertEqual(rotate_left([1, 2, 3, 4], 1), [2, 3, 4, 1])\n    def test_k_big(self):\n        self.assertEqual(rotate_left([1, 2], 3), [2, 1])\n    def test_empty(self):\n        self.assertEqual(rotate_left([], 4), [])\n"}}, "topic": "arrays"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-rotate-faefb187d7fb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.025}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-rotate", "topic": "arrays"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `rotate_left(xs: list, k: int) -> list` rotating a copy\nleft by k positions (k may be larger than len(xs); empty list stays empty).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def rotate_left(xs, k):\n n = len(xs)\n if n == 0:\n return []\n k = k % n\n return xs[k:] + xs[:k]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_k_big (test_solution.Test.test_k_big) ... ok\ntest_rot (test_solution.Test.test_rot) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def rotate_left(xs, k):\n n = len(xs)\n if n == 0:\n return []\n k = k % n\n return xs[k:] + xs[:k]", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ERROR\ntest_k_big (test_solution.Test.test_k_big) ... FAIL\ntest_rot (test_solution.Test.test_rot) ... FAIL\n\n======================================================================\nERROR: test_empty (test_solution.Test.test_empty)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-km6nzd_j\\test_solution.py\", line 10, in test_empty\n    self.assertEqual(rotate_left([], 4), [])\n                     ~~~~~~~~~~~^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-km6nzd_j\\solution.py\", line 5, in rotate_left\n    k = k % n\n        ~~^~~\nZeroDivisionError: integer modulo by zero\n\n======================================================================\nFAIL: test_k_big (test_solution.Test.test_k_big)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-km6nzd_j\\test_solution.py\", line 8, in test_k_big\n    self.assertEqual(rotate_left([1, 2], 3), [2, 1])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != [2, 1]\n\nSecond list contains 2 additional elements.\nFirst extra element 0:\n2\n\n- []\n+ [2, 1]\n\n======================================================================\nFAIL: test_rot (test_solution.Test.test_rot)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-km6nzd_j\\test_solution.py\", line 6, in test_rot\n    self.assertEqual(rotate_left([1, 2, 3, 4], 1), [2, 3, 4, 1])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != [2, 3, 4, 1]\n\nSecond list contains 4 additional elements.\nFirst extra element 0:\n2\n\n- []\n+ [2, 3, 4, 1]\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2, errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def rotate_left(xs, k):\n    n = len(xs)\n    if n != 0:\n        return []\n    k = k % n\n    return xs[k:] + xs[:k]\n", "test_solution.py": "import unittest\nfrom solution import rotate_left\n\nclass Test(unittest.TestCase):\n    def test_rot(self):\n        self.assertEqual(rotate_left([1, 2, 3, 4], 1), [2, 3, 4, 1])\n    def test_k_big(self):\n        self.assertEqual(rotate_left([1, 2], 3), [2, 1])\n    def test_empty(self):\n        self.assertEqual(rotate_left([], 4), [])\n"}}, "topic": "arrays"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-v102-rotate-3a2062db345f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.75}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 2, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ERROR\ntest_k_big (test_solution.Test.test_k_big) ... FAIL\ntest_rot (test_solution.Test.test_rot) ... FAIL\n\n======================================================================\nERROR: test_empty (test_solution.Test.test_empty)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-km6nzd_j\\test_solution.py\", line 10, in test_empty\n    self.assertEqual(rotate_left([], 4), [])\n                     ~~~~~~~~~~~^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-km6nzd_j\\solution.py\", line 5, in rotate_left\n    k = k % n\n        ~~^~~\nZeroDivisionError: integer modulo by zero\n\n======================================================================\nFAIL: test_k_big (test_solution.Test.test_k_big)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-km6nzd_j\\test_solution.py\", line 8, in test_k_big\n    self.assertEqual(rotate_left([1, 2], 3), [2, 1])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != [2, 1]\n\nSecond list contains 2 additional elements.\nFirst extra element 0:\n2\n\n- []\n+ [2, 1]\n\n======================================================================\nFAIL: test_rot (test_solution.Test.test_rot)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-km6nzd_j\\test_solution.py\", line 6, in test_rot\n    self.assertEqual(rotate_left([1, 2, 3, 4], 1), [2, 3, 4, 1])\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != [2, 3, 4, 1]\n\nSecond list contains 4 additional elements.\nFirst extra element 0:\n2\n\n- []\n+ [2, 3, 4, 1]\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2, errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 3, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-rotate", "tests_passed_after_fix": 3, "topic": "arrays"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `rotate_left(xs: list, k: int) -> list` rotating a copy\nleft by k positions (k may be larger than len(xs); empty list stays empty).\n\n--- solution.py (buggy) ---\ndef rotate_left(xs, k):\n n = len(xs)\n if n != 0:\n return []\n k = k % n\n return xs[k:] + xs[:k]\n\n--- test_solution.py ---\nimport unittest\nfrom solution import rotate_left\n\nclass Test(unittest.TestCase):\n def test_rot(self):\n self.assertEqual(rotate_left([1, 2, 3, 4], 1), [2, 3, 4, 1])\n def test_k_big(self):\n self.assertEqual(rotate_left([1, 2], 3), [2, 1])\n def test_empty(self):\n self.assertEqual(rotate_left([], 4), [])\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_empty (test_solution.Test.test_empty) ... ERROR\ntest_k_big (test_solution.Test.test_k_big) ... FAIL\ntest_rot (test_solution.Test.test_rot) ... FAIL\n\n======================================================================\nERROR: test_empty (test_solution.Test.test_empty)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-km6nzd_j\\test_solution.py\", line 10, in test_empty\n self.assertEqual(rotate_left([], 4), [])\n ~~~~~~~~~~~^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-km6nzd_j\\solution.py\", line 5, in rotate_left\n k = k % n\n ~~^~~\nZeroDivisionError: integer modulo by zero\n\n======================================================================\nFAIL: test_k_big (test_solution.Test.test_k_big)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-km6nzd_j\\test_solution.py\", line 8, in test_k_big\n self.assertEqual(rotate_left([1, 2], 3), [2, 1])\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: Lists differ: [] != [2, 1]\n\nSecond list contains 2 additional elements.\nFirst extra element 0:\n2\n\n- []\n+ [2, 1]\n\n======================================================================\nFA", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def rotate_left(xs, k):\n n = len(xs)\n if n == 0:\n return []\n k = k % n\n return xs[k:] + xs[:k]", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_k_big (test_solution.Test.test_k_big) ... ok\ntest_rot (test_solution.Test.test_rot) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def max_paren_depth(text):\n depth = 0\n best = 0\n for ch in text:\n if ch == \"(\":\n depth += 1\n best = max(best, depth)\n elif ch == \")\":\n depth -= 1\n if depth < 0:\n return -1\n return best if depth == 0 else -1", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def max_paren_depth(text):\n    depth = 0\n    best = 0\n    for ch in text:\n        if ch == \"(\":\n            depth += 1\n            best = max(best, depth)\n        elif ch == \")\":\n            depth -= 1\n            if depth < 0:\n                return -1\n    return best if depth == 0 else -1\n", "test_solution.py": "import unittest\nfrom solution import max_paren_depth\n\nclass Test(unittest.TestCase):\n    def test_nested(self):\n        self.assertEqual(max_paren_depth(\"(a(b))\"), 2)\n    def test_bad(self):\n        self.assertEqual(max_paren_depth(\")(\"), -1)\n    def test_open(self):\n        self.assertEqual(max_paren_depth(\"(\"), -1)\n"}}, "topic": "strings"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-depth-parens-1279a5760d59", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 4.9}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-depth-parens", "topic": "strings"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `max_paren_depth(text: str) -> int` for `()` only.\nIgnore other characters. Return -1 if the string is unbalanced.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def max_paren_depth(text):\n depth = 0\n best = 0\n for ch in text:\n if ch == \"(\":\n depth += 1\n best = max(best, depth)\n elif ch == \")\":\n depth -= 1\n if depth < 0:\n return -1\n return best if depth == 0 else -1", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_nested (test_solution.Test.test_nested) ... ok\ntest_open (test_solution.Test.test_open) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def max_paren_depth(text):\n depth = 0\n best = 0\n for ch in text:\n if ch == \"(\":\n depth += 1\n best = max(best, depth)\n elif ch == \")\":\n depth -= 1\n if depth < 0:\n return -1\n return best if depth == 0 else -1", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_bad (test_solution.Test.test_bad) ... ok\ntest_nested (test_solution.Test.test_nested) ... FAIL\ntest_open (test_solution.Test.test_open) ... FAIL\n\n======================================================================\nFAIL: test_nested (test_solution.Test.test_nested)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-r_zvs_bh\\test_solution.py\", line 6, in test_nested\n    self.assertEqual(max_paren_depth(\"(a(b))\"), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -1 != 2\n\n======================================================================\nFAIL: test_open (test_solution.Test.test_open)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-r_zvs_bh\\test_solution.py\", line 10, in test_open\n    self.assertEqual(max_paren_depth(\"(\"), -1)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 != -1\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n"}, "language": "python", "repository": {"files": {"solution.py": "def max_paren_depth(text):\n    depth = 0\n    best = 0\n    for ch in text:\n        if ch != \"(\":\n            depth += 1\n            best = max(best, depth)\n        elif ch == \")\":\n            depth -= 1\n            if depth < 0:\n                return -1\n    return best if depth == 0 else -1\n", "test_solution.py": "import unittest\nfrom solution import max_paren_depth\n\nclass Test(unittest.TestCase):\n    def test_nested(self):\n        self.assertEqual(max_paren_depth(\"(a(b))\"), 2)\n    def test_bad(self):\n        self.assertEqual(max_paren_depth(\")(\"), -1)\n    def test_open(self):\n        self.assertEqual(max_paren_depth(\"(\"), -1)\n"}}, "topic": "strings"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-v102-depth-parens-89cf3726658b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.899999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 2, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_nested (test_solution.Test.test_nested) ... FAIL\ntest_open (test_solution.Test.test_open) ... FAIL\n\n======================================================================\nFAIL: test_nested (test_solution.Test.test_nested)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-r_zvs_bh\\test_solution.py\", line 6, in test_nested\n    self.assertEqual(max_paren_depth(\"(a(b))\"), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -1 != 2\n\n======================================================================\nFAIL: test_open (test_solution.Test.test_open)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-r_zvs_bh\\test_solution.py\", line 10, in test_open\n    self.assertEqual(max_paren_depth(\"(\"), -1)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 != -1\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-depth-parens", "tests_passed_after_fix": 3, "topic": "strings"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `max_paren_depth(text: str) -> int` for `()` only.\nIgnore other characters. Return -1 if the string is unbalanced.\n\n--- solution.py (buggy) ---\ndef max_paren_depth(text):\n depth = 0\n best = 0\n for ch in text:\n if ch != \"(\":\n depth += 1\n best = max(best, depth)\n elif ch == \")\":\n depth -= 1\n if depth < 0:\n return -1\n return best if depth == 0 else -1\n\n--- test_solution.py ---\nimport unittest\nfrom solution import max_paren_depth\n\nclass Test(unittest.TestCase):\n def test_nested(self):\n self.assertEqual(max_paren_depth(\"(a(b))\"), 2)\n def test_bad(self):\n self.assertEqual(max_paren_depth(\")(\"), -1)\n def test_open(self):\n self.assertEqual(max_paren_depth(\"(\"), -1)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 2, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_bad (test_solution.Test.test_bad) ... ok\ntest_nested (test_solution.Test.test_nested) ... FAIL\ntest_open (test_solution.Test.test_open) ... FAIL\n\n======================================================================\nFAIL: test_nested (test_solution.Test.test_nested)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-r_zvs_bh\\test_solution.py\", line 6, in test_nested\n self.assertEqual(max_paren_depth(\"(a(b))\"), 2)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -1 != 2\n\n======================================================================\nFAIL: test_open (test_solution.Test.test_open)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-r_zvs_bh\\test_solution.py\", line 10, in test_open\n self.assertEqual(max_paren_depth(\"(\"), -1)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 0 != -1\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (failures=2)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:08Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def max_paren_depth(text):\n depth = 0\n best = 0\n for ch in text:\n if ch == \"(\":\n depth += 1\n best = max(best, depth)\n elif ch == \")\":\n depth -= 1\n if depth < 0:\n return -1\n return best if depth == 0 else -1", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_nested (test_solution.Test.test_nested) ... ok\ntest_open (test_solution.Test.test_open) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "from collections import Counter\n\ndef mode_int(xs):\n if not xs:\n raise ValueError(\"empty\")\n counts = Counter(xs)\n best = max(counts.values())\n return min(v for v, c in counts.items() if c == best)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "from collections import Counter\n\ndef mode_int(xs):\n    if not xs:\n        raise ValueError(\"empty\")\n    counts = Counter(xs)\n    best = max(counts.values())\n    return min(v for v, c in counts.items() if c == best)\n", "test_solution.py": "import unittest\nfrom solution import mode_int\n\nclass Test(unittest.TestCase):\n    def test_mode(self):\n        self.assertEqual(mode_int([1, 2, 2, 3]), 2)\n    def test_tie(self):\n        self.assertEqual(mode_int([1, 1, 2, 2]), 1)\n"}}, "topic": "stats"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-mode-121aa3dce639", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 3.6}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-mode", "topic": "stats"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `mode_int(xs: list[int]) -> int` returning the unique\nsmallest mode if several values share the top frequency.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:09Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import Counter\n\ndef mode_int(xs):\n if not xs:\n raise ValueError(\"empty\")\n counts = Counter(xs)\n best = max(counts.values())\n return min(v for v, c in counts.items() if c == best)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_mode (test_solution.Test.test_mode) ... ok\ntest_tie (test_solution.Test.test_tie) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "from collections import Counter\n\ndef mode_int(xs):\n if not xs:\n raise ValueError(\"empty\")\n counts = Counter(xs)\n best = max(counts.values())\n return min(v for v, c in counts.items() if c == best)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_mode (test_solution.Test.test_mode) ... FAIL\ntest_tie (test_solution.Test.test_tie) ... ERROR\n\n======================================================================\nERROR: test_tie (test_solution.Test.test_tie)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9ktkp4i2\\test_solution.py\", line 8, in test_tie\n    self.assertEqual(mode_int([1, 1, 2, 2]), 1)\n                     ~~~~~~~~^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9ktkp4i2\\solution.py\", line 8, in mode_int\n    return min(v for v, c in counts.items() if c != best)\nValueError: min() iterable argument is empty\n\n======================================================================\nFAIL: test_mode (test_solution.Test.test_mode)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9ktkp4i2\\test_solution.py\", line 6, in test_mode\n    self.assertEqual(mode_int([1, 2, 2, 3]), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != 2\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1, errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "from collections import Counter\n\ndef mode_int(xs):\n    if not xs:\n        raise ValueError(\"empty\")\n    counts = Counter(xs)\n    best = max(counts.values())\n    return min(v for v, c in counts.items() if c != best)\n", "test_solution.py": "import unittest\nfrom solution import mode_int\n\nclass Test(unittest.TestCase):\n    def test_mode(self):\n        self.assertEqual(mode_int([1, 2, 2, 3]), 2)\n    def test_tie(self):\n        self.assertEqual(mode_int([1, 1, 2, 2]), 1)\n"}}, "topic": "stats"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-v102-mode-f39ac813e0a2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.75}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_mode (test_solution.Test.test_mode) ... FAIL\ntest_tie (test_solution.Test.test_tie) ... ERROR\n\n======================================================================\nERROR: test_tie (test_solution.Test.test_tie)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9ktkp4i2\\test_solution.py\", line 8, in test_tie\n    self.assertEqual(mode_int([1, 1, 2, 2]), 1)\n                     ~~~~~~~~^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9ktkp4i2\\solution.py\", line 8, in mode_int\n    return min(v for v, c in counts.items() if c != best)\nValueError: min() iterable argument is empty\n\n======================================================================\nFAIL: test_mode (test_solution.Test.test_mode)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9ktkp4i2\\test_solution.py\", line 6, in test_mode\n    self.assertEqual(mode_int([1, 2, 2, 3]), 2)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != 2\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1, errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 2, "tests_passed": 0}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-mode", "tests_passed_after_fix": 2, "topic": "stats"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `mode_int(xs: list[int]) -> int` returning the unique\nsmallest mode if several values share the top frequency.\n\n--- solution.py (buggy) ---\nfrom collections import Counter\n\ndef mode_int(xs):\n if not xs:\n raise ValueError(\"empty\")\n counts = Counter(xs)\n best = max(counts.values())\n return min(v for v, c in counts.items() if c != best)\n\n--- test_solution.py ---\nimport unittest\nfrom solution import mode_int\n\nclass Test(unittest.TestCase):\n def test_mode(self):\n self.assertEqual(mode_int([1, 2, 2, 3]), 2)\n def test_tie(self):\n self.assertEqual(mode_int([1, 1, 2, 2]), 1)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_mode (test_solution.Test.test_mode) ... FAIL\ntest_tie (test_solution.Test.test_tie) ... ERROR\n\n======================================================================\nERROR: test_tie (test_solution.Test.test_tie)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9ktkp4i2\\test_solution.py\", line 8, in test_tie\n self.assertEqual(mode_int([1, 1, 2, 2]), 1)\n ~~~~~~~~^^^^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9ktkp4i2\\solution.py\", line 8, in mode_int\n return min(v for v, c in counts.items() if c != best)\nValueError: min() iterable argument is empty\n\n======================================================================\nFAIL: test_mode (test_solution.Test.test_mode)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-9ktkp4i2\\test_solution.py\", line 6, in test_mode\n self.assertEqual(mode_int([1, 2, 2, 3]), 2)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: 1 != 2\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1, errors=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:09Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "from collections import Counter\n\ndef mode_int(xs):\n if not xs:\n raise ValueError(\"empty\")\n counts = Counter(xs)\n best = max(counts.values())\n return min(v for v, c in counts.items() if c == best)", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_mode (test_solution.Test.test_mode) ... ok\ntest_tie (test_solution.Test.test_tie) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def prefix_sums(xs):\n out = []\n s = 0\n for x in xs:\n s += x\n out.append(s)\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def prefix_sums(xs):\n    out = []\n    s = 0\n    for x in xs:\n        s += x\n        out.append(s)\n    return out\n", "test_solution.py": "import unittest\nfrom solution import prefix_sums\n\nclass Test(unittest.TestCase):\n    def test_ps(self):\n        self.assertEqual(prefix_sums([1, 2, 3]), [1, 3, 6])\n    def test_empty(self):\n        self.assertEqual(prefix_sums([]), [])\n"}}, "topic": "arrays"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-prefix-sums-2055054fe5f1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.875}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-prefix-sums", "topic": "arrays"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `prefix_sums(xs: list[int]) -> list[int]` where\nout[i] = xs[0]+...+xs[i].", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:09Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def prefix_sums(xs):\n out = []\n s = 0\n for x in xs:\n s += x\n out.append(s)\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_ps (test_solution.Test.test_ps) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def to_kebab(name):\n bits = [p for part in name.split() for p in part.split(\"_\") if p]\n return \"-\".join(b.lower() for b in bits)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def to_kebab(name):\n    bits = [p for part in name.split() for p in part.split(\"_\") if p]\n    return \"-\".join(b.lower() for b in bits)\n", "test_solution.py": "import unittest\nfrom solution import to_kebab\n\nclass Test(unittest.TestCase):\n    def test_mix(self):\n        self.assertEqual(to_kebab(\"Hello_World x\"), \"hello-world-x\")\n"}}, "topic": "strings"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-kebab-32f3124cb3b9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.275, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 3.8}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-kebab", "topic": "strings"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `to_kebab(name: str) -> str`: split on spaces and `_`,\nlowercase, join with `-`, drop empty pieces.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:09Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def to_kebab(name):\n bits = [p for part in name.split() for p in part.split(\"_\") if p]\n return \"-\".join(b.lower() for b in bits)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_mix (test_solution.Test.test_mix) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def greedy_cover(universe, sets):\n remaining = set(universe)\n chosen = []\n used = set()\n while remaining:\n best_i = None\n best_gain = 0\n for i, s in enumerate(sets):\n if i in used:\n continue\n gain = len(remaining & s)\n if gain > best_gain or (gain == best_gain and best_i is not None and i < best_i and gain > 0):\n if gain > best_gain or (gain == best_gain and i < best_i):\n best_gain = gain\n best_i = i\n elif best_i is None and gain > 0:\n best_gain = gain\n best_i = i\n if best_i is None or best_gain == 0:\n break\n used.add(best_i)\n chosen.append(best_i)\n remaining -= sets[best_i]\n return chosen", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def greedy_cover(universe, sets):\n    remaining = set(universe)\n    chosen = []\n    used = set()\n    while remaining:\n        best_i = None\n        best_gain = 0\n        for i, s in enumerate(sets):\n            if i in used:\n                continue\n            gain = len(remaining & s)\n            if gain > best_gain or (gain == best_gain and best_i is not None and i < best_i and gain > 0):\n                if gain > best_gain or (gain == best_gain and i < best_i):\n                    best_gain = gain\n                    best_i = i\n            elif best_i is None and gain > 0:\n                best_gain = gain\n                best_i = i\n        if best_i is None or best_gain == 0:\n            break\n        used.add(best_i)\n        chosen.append(best_i)\n        remaining -= sets[best_i]\n    return chosen\n", "test_solution.py": "import unittest\nfrom solution import greedy_cover\n\nclass Test(unittest.TestCase):\n    def test_simple(self):\n        u = {1, 2, 3}\n        sets = [{1, 2}, {2, 3}, {3}]\n        got = greedy_cover(u, sets)\n        self.assertTrue(set().union(*(sets[i] for i in got)) >= u)\n"}}, "topic": "algorithms"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-set-cover-greedy-d9cbab3ff812", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.875, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.95, "tests": 0.0, "total": 4.8}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-set-cover-greedy", "topic": "algorithms"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `greedy_cover(universe: set[int], sets: list[set[int]]) -> list[int]`.\n\nReturn indices of sets chosen by greedy set cover (pick the set covering the\nmost remaining elements; ties → lowest index). Stop when universe is covered\nor no set adds coverage.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:09Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def greedy_cover(universe, sets):\n remaining = set(universe)\n chosen = []\n used = set()\n while remaining:\n best_i = None\n best_gain = 0\n for i, s in enumerate(sets):\n if i in used:\n continue\n gain = len(remaining & s)\n if gain > best_gain or (gain == best_gain and best_i is not None and i < best_i and gain > 0):\n if gain > best_gain or (gain == best_gain and i < best_i):\n best_gain = gain\n best_i = i\n elif best_i is None and gain > 0:\n best_gain = gain\n best_i = i\n if best_i is None or best_gain == 0:\n break\n used.add(best_i)\n chosen.append(best_i)\n remaining -= sets[best_i]\n return chosen", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_simple (test_solution.Test.test_simple) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def isbn10_ok(code):\n compact = code.replace(\"-\", \"\")\n if len(compact) != 10:\n return False\n total = 0\n for i, ch in enumerate(compact):\n if i < 9:\n if not ch.isdigit():\n return False\n total += int(ch) * (10 - i)\n else:\n if ch in \"Xx\":\n total += 10\n elif ch.isdigit():\n total += int(ch)\n else:\n return False\n return total % 11 == 0", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def isbn10_ok(code):\n    compact = code.replace(\"-\", \"\")\n    if len(compact) != 10:\n        return False\n    total = 0\n    for i, ch in enumerate(compact):\n        if i < 9:\n            if not ch.isdigit():\n                return False\n            total += int(ch) * (10 - i)\n        else:\n            if ch in \"Xx\":\n                total += 10\n            elif ch.isdigit():\n                total += int(ch)\n            else:\n                return False\n    return total % 11 == 0\n", "test_solution.py": "import unittest\nfrom solution import isbn10_ok\n\nclass Test(unittest.TestCase):\n    def test_known(self):\n        self.assertTrue(isbn10_ok(\"0-306-40615-2\"))\n    def test_bad(self):\n        self.assertFalse(isbn10_ok(\"0-306-40615-3\"))\n"}}, "topic": "checksums"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-isbn-digit-df81e7c185f1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 6.05}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-isbn-digit", "topic": "checksums"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `isbn10_ok(code: str) -> bool`. `code` is 10 characters,\nlast may be X (value 10). Weighted sum d1*10+...+d10*1 must be 0 mod 11.\nIgnore hyphens.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:09Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def isbn10_ok(code):\n compact = code.replace(\"-\", \"\")\n if len(compact) != 10:\n return False\n total = 0\n for i, ch in enumerate(compact):\n if i < 9:\n if not ch.isdigit():\n return False\n total += int(ch) * (10 - i)\n else:\n if ch in \"Xx\":\n total += 10\n elif ch.isdigit():\n total += int(ch)\n else:\n return False\n return total % 11 == 0", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_known (test_solution.Test.test_known) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def median_int(xs):\n if not xs:\n raise ValueError(\"empty\")\n ys = sorted(xs)\n n = len(ys)\n mid = n // 2\n if n % 2:\n return float(ys[mid])\n return (ys[mid - 1] + ys[mid]) / 2", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def median_int(xs):\n    if not xs:\n        raise ValueError(\"empty\")\n    ys = sorted(xs)\n    n = len(ys)\n    mid = n // 2\n    if n % 2:\n        return float(ys[mid])\n    return (ys[mid - 1] + ys[mid]) / 2\n", "test_solution.py": "import unittest\nfrom solution import median_int\n\nclass Test(unittest.TestCase):\n    def test_odd(self):\n        self.assertEqual(median_int([3, 1, 2]), 2.0)\n    def test_even(self):\n        self.assertEqual(median_int([1, 2, 3, 4]), 2.5)\n"}}, "topic": "stats"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-v102-median-e5ed7e69c631", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 5.025}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-median", "topic": "stats"}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `median_int(xs: list[int]) -> float` for a non-empty list\n(average the two middle values when length is even).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:09Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def median_int(xs):\n if not xs:\n raise ValueError(\"empty\")\n ys = sorted(xs)\n n = len(ys)\n mid = n // 2\n if n % 2:\n return float(ys[mid])\n return (ys[mid - 1] + ys[mid]) / 2", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_even (test_solution.Test.test_even) ... ok\ntest_odd (test_solution.Test.test_odd) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def median_int(xs):\n if not xs:\n raise ValueError(\"empty\")\n ys = sorted(xs)\n n = len(ys)\n mid = n // 2\n if n % 2:\n return float(ys[mid])\n return (ys[mid - 1] + ys[mid]) / 2", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_even (test_solution.Test.test_even) ... FAIL\ntest_odd (test_solution.Test.test_odd) ... ok\n\n======================================================================\nFAIL: test_even (test_solution.Test.test_even)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-aph4xezn\\test_solution.py\", line 8, in test_even\n    self.assertEqual(median_int([1, 2, 3, 4]), 2.5)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -0.5 != 2.5\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def median_int(xs):\n    if not xs:\n        raise ValueError(\"empty\")\n    ys = sorted(xs)\n    n = len(ys)\n    mid = n // 2\n    if n % 2:\n        return float(ys[mid])\n    return (ys[mid - 1] - ys[mid]) / 2\n", "test_solution.py": "import unittest\nfrom solution import median_int\n\nclass Test(unittest.TestCase):\n    def test_odd(self):\n        self.assertEqual(median_int([3, 1, 2]), 2.0)\n    def test_even(self):\n        self.assertEqual(median_int([1, 2, 3, 4]), 2.5)\n"}}, "topic": "stats"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-v102-median-dfbbdf756d9a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.75, "tests": 0.0, "total": 10.524999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_even (test_solution.Test.test_even) ... FAIL\ntest_odd (test_solution.Test.test_odd) ... ok\n\n======================================================================\nFAIL: test_even (test_solution.Test.test_even)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-aph4xezn\\test_solution.py\", line 8, in test_even\n    self.assertEqual(median_int([1, 2, 3, 4]), 2.5)\n    ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -0.5 != 2.5\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "v102-median", "tests_passed_after_fix": 2, "topic": "stats"}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `median_int(xs: list[int]) -> float` for a non-empty list\n(average the two middle values when length is even).\n\n--- solution.py (buggy) ---\ndef median_int(xs):\n if not xs:\n raise ValueError(\"empty\")\n ys = sorted(xs)\n n = len(ys)\n mid = n // 2\n if n % 2:\n return float(ys[mid])\n return (ys[mid - 1] - ys[mid]) / 2\n\n--- test_solution.py ---\nimport unittest\nfrom solution import median_int\n\nclass Test(unittest.TestCase):\n def test_odd(self):\n self.assertEqual(median_int([3, 1, 2]), 2.0)\n def test_even(self):\n self.assertEqual(median_int([1, 2, 3, 4]), 2.5)\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_even (test_solution.Test.test_even) ... FAIL\ntest_odd (test_solution.Test.test_odd) ... ok\n\n======================================================================\nFAIL: test_even (test_solution.Test.test_even)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-aph4xezn\\test_solution.py\", line 8, in test_even\n self.assertEqual(median_int([1, 2, 3, 4]), 2.5)\n ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: -0.5 != 2.5\n\n----------------------------------------------------------------------\nRan 2 tests in 0.001s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:09Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def median_int(xs):\n if not xs:\n raise ValueError(\"empty\")\n ys = sorted(xs)\n n = len(ys)\n mid = n // 2\n if n % 2:\n return float(ys[mid])\n return (ys[mid - 1] + ys[mid]) / 2", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_even (test_solution.Test.test_even) ... ok\ntest_odd (test_solution.Test.test_odd) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def join_query(base, extra):\n if \"?\" in base:\n path, qs = base.split(\"?\", 1)\n pairs = {}\n if qs:\n for part in qs.split(\"&\"):\n if not part:\n continue\n if \"=\" in part:\n k, v = part.split(\"=\", 1)\n pairs[k] = v\n else:\n pairs[part] = \"\"\n else:\n pairs = {}\n else:\n path, pairs = base, {}\n pairs.update(extra)\n if not pairs:\n return path\n joined = \"&\".join(f\"{k}={v}\" for k, v in pairs.items())\n return path + \"?\" + joined", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def join_query(base, extra):\n    if \"?\" in base:\n        path, qs = base.split(\"?\", 1)\n        pairs = {}\n        if qs:\n            for part in qs.split(\"&\"):\n                if not part:\n                    continue\n                if \"=\" in part:\n                    k, v = part.split(\"=\", 1)\n                    pairs[k] = v\n                else:\n                    pairs[part] = \"\"\n        else:\n            pairs = {}\n    else:\n        path, pairs = base, {}\n    pairs.update(extra)\n    if not pairs:\n        return path\n    joined = \"&\".join(f\"{k}={v}\" for k, v in pairs.items())\n    return path + \"?\" + joined\n", "test_solution.py": "import unittest\nfrom solution import join_query\n\nclass Test(unittest.TestCase):\n    def test_merge(self):\n        self.assertEqual(join_query(\"/x?a=1\", {\"b\": \"2\"}), \"/x?a=1&b=2\")\n    def test_override(self):\n        self.assertEqual(join_query(\"/x?a=1\", {\"a\": \"9\"}), \"/x?a=9\")\n    def test_empty_extra(self):\n        self.assertEqual(join_query(\"/x\", {}), \"/x\")\n    def test_add_q(self):\n        self.assertEqual(join_query(\"/x\", {\"k\": \"v\"}), \"/x?k=v\")\n"}}, "topic": "http"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-gh-query-join-c43deefdbc42", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.9, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.525, "tests": 0.0, "total": 5.9}, "github_repo": "psf/requests", "inspired_by": "github", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "gh-query-join", "topic": "http", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `join_query(base: str, extra: dict[str, str]) -> str`.\n\n`base` is a URL path plus optional `?a=1` query. Merge `extra` key/value pairs\n(already encoded, no spaces) onto the query string. Preserve existing pairs.\nIf `base` has no `?`, add one when extra is non-empty. Do not add a trailing\n`?` when extra is empty. Keys in extra override same keys in base.", "provenance": {"commit": "8f8b212de8c2129d7954c6cd373762880375620a", "derived": true, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache-2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "github_permissive", "source_id": "psf/requests", "source_type": "open_source", "source_url": "https://github.com/psf/requests/blob/8f8b212de8c2129d7954c6cd373762880375620a/src/requests/utils.py", "source_version": null, "transformation": "original_task_inspired_by_permissive_github; verbatim=false", "trust_tier": "tier5_implementation", "unknown_reason": null}, "quality": {"evidence_confidence": 0.627, "notes": [], "score_components": {"authority_score": 0.65, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def join_query(base, extra):\n if \"?\" in base:\n path, qs = base.split(\"?\", 1)\n pairs = {}\n if qs:\n for part in qs.split(\"&\"):\n if not part:\n continue\n if \"=\" in part:\n k, v = part.split(\"=\", 1)\n pairs[k] = v\n else:\n pairs[part] = \"\"\n else:\n pairs = {}\n else:\n path, pairs = base, {}\n pairs.update(extra)\n if not pairs:\n return path\n joined = \"&\".join(f\"{k}={v}\" for k, v in pairs.items())\n return path + \"?\" + joined", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_add_q (test_solution.Test.test_add_q) ... ok\ntest_empty_extra (test_solution.Test.test_empty_extra) ... ok\ntest_merge (test_solution.Test.test_merge) ... ok\ntest_override (test_solution.Test.test_override) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def join_query(base, extra):\n if \"?\" in base:\n path, qs = base.split(\"?\", 1)\n pairs = {}\n if qs:\n for part in qs.split(\"&\"):\n if not part:\n continue\n if \"=\" in part:\n k, v = part.split(\"=\", 1)\n pairs[k] = v\n else:\n pairs[part] = \"\"\n else:\n pairs = {}\n else:\n path, pairs = base, {}\n pairs.update(extra)\n if not pairs:\n return path\n joined = \"&\".join(f\"{k}={v}\" for k, v in pairs.items())\n return path + \"?\" + joined", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 3, \"skipped\": 0, \"passed\": false}\n\ntest_add_q (test_solution.Test.test_add_q) ... ERROR\ntest_empty_extra (test_solution.Test.test_empty_extra) ... ok\ntest_merge (test_solution.Test.test_merge) ... ERROR\ntest_override (test_solution.Test.test_override) ... ERROR\n\n======================================================================\nERROR: test_add_q (test_solution.Test.test_add_q)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\test_solution.py\", line 12, in test_add_q\n    self.assertEqual(join_query(\"/x\", {\"k\": \"v\"}), \"/x?k=v\")\n                     ~~~~~~~~~~^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\solution.py\", line 22, in join_query\n    return path - \"?\" + joined\n           ~~~~~^~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n======================================================================\nERROR: test_merge (test_solution.Test.test_merge)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\test_solution.py\", line 6, in test_merge\n    self.assertEqual(join_query(\"/x?a=1\", {\"b\": \"2\"}), \"/x?a=1&b=2\")\n                     ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\solution.py\", line 22, in join_query\n    return path - \"?\" + joined\n           ~~~~~^~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n======================================================================\nERROR: test_override (test_solution.Test.test_override)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\test_solution.py\", line 8, in test_override\n    self.assertEqual(join_query(\"/x?a=1\", {\"a\": \"9\"}), \"/x?a=9\")\n                     ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\solution.py\", line 22, in join_query\n    return path - \"?\" + joined\n           ~~~~~^~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n----------------------------------------------------------------------\nRan 4 tests in 0.001s\n\nFAILED (errors=3)\n"}, "language": "python", "repository": {"files": {"solution.py": "def join_query(base, extra):\n    if \"?\" in base:\n        path, qs = base.split(\"?\", 1)\n        pairs = {}\n        if qs:\n            for part in qs.split(\"&\"):\n                if not part:\n                    continue\n                if \"=\" in part:\n                    k, v = part.split(\"=\", 1)\n                    pairs[k] = v\n                else:\n                    pairs[part] = \"\"\n        else:\n            pairs = {}\n    else:\n        path, pairs = base, {}\n    pairs.update(extra)\n    if not pairs:\n        return path\n    joined = \"&\".join(f\"{k}={v}\" for k, v in pairs.items())\n    return path - \"?\" + joined\n", "test_solution.py": "import unittest\nfrom solution import join_query\n\nclass Test(unittest.TestCase):\n    def test_merge(self):\n        self.assertEqual(join_query(\"/x?a=1\", {\"b\": \"2\"}), \"/x?a=1&b=2\")\n    def test_override(self):\n        self.assertEqual(join_query(\"/x?a=1\", {\"a\": \"9\"}), \"/x?a=9\")\n    def test_empty_extra(self):\n        self.assertEqual(join_query(\"/x\", {}), \"/x\")\n    def test_add_q(self):\n        self.assertEqual(join_query(\"/x\", {\"k\": \"v\"}), \"/x?k=v\")\n"}}, "topic": "http"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-gh-query-join-4a814b3edb47", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.9, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.2}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 3, "failures": 0, "passed": false, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_add_q (test_solution.Test.test_add_q) ... ERROR\ntest_empty_extra (test_solution.Test.test_empty_extra) ... ok\ntest_merge (test_solution.Test.test_merge) ... ERROR\ntest_override (test_solution.Test.test_override) ... ERROR\n\n======================================================================\nERROR: test_add_q (test_solution.Test.test_add_q)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\test_solution.py\", line 12, in test_add_q\n    self.assertEqual(join_query(\"/x\", {\"k\": \"v\"}), \"/x?k=v\")\n                     ~~~~~~~~~~^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\solution.py\", line 22, in join_query\n    return path - \"?\" + joined\n           ~~~~~^~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n======================================================================\nERROR: test_merge (test_solution.Test.test_merge)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\test_solution.py\", line 6, in test_merge\n    self.assertEqual(join_query(\"/x?a=1\", {\"b\": \"2\"}), \"/x?a=1&b=2\")\n                     ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\solution.py\", line 22, in join_query\n    return path - \"?\" + joined\n           ~~~~~^~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n======================================================================\nERROR: test_override (test_solution.Test.test_override)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\test_solution.py\", line 8, in test_override\n    self.assertEqual(join_query(\"/x?a=1\", {\"a\": \"9\"}), \"/x?a=9\")\n                     ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\solution.py\", line 22, in join_query\n    return path - \"?\" + joined\n           ~~~~~^~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n----------------------------------------------------------------------\nRan 4 tests in 0.001s\n\nFAILED (errors=3)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 3, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 3, "tests_passed": 1}, "github_repo": "psf/requests", "inspired_by": "github", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "gh-query-join", "tests_passed_after_fix": 4, "topic": "http", "verbatim": false}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `join_query(base: str, extra: dict[str, str]) -> str`.\n\n`base` is a URL path plus optional `?a=1` query. Merge `extra` key/value pairs\n(already encoded, no spaces) onto the query string. Preserve existing pairs.\nIf `base` has no `?`, add one when extra is non-empty. Do not add a trailing\n`?` when extra is empty. Keys in extra override same keys in base.\n\n--- solution.py (buggy) ---\ndef join_query(base, extra):\n if \"?\" in base:\n path, qs = base.split(\"?\", 1)\n pairs = {}\n if qs:\n for part in qs.split(\"&\"):\n if not part:\n continue\n if \"=\" in part:\n k, v = part.split(\"=\", 1)\n pairs[k] = v\n else:\n pairs[part] = \"\"\n else:\n pairs = {}\n else:\n path, pairs = base, {}\n pairs.update(extra)\n if not pairs:\n return path\n joined = \"&\".join(f\"{k}={v}\" for k, v in pairs.items())\n return path - \"?\" + joined\n\n--- test_solution.py ---\nimport unittest\nfrom solution import join_query\n\nclass Test(unittest.TestCase):\n def test_merge(self):\n self.assertEqual(join_query(\"/x?a=1\", {\"b\": \"2\"}), \"/x?a=1&b=2\")\n def test_override(self):\n self.assertEqual(join_query(\"/x?a=1\", {\"a\": \"9\"}), \"/x?a=9\")\n def test_empty_extra(self):\n self.assertEqual(join_query(\"/x\", {}), \"/x\")\n def test_add_q(self):\n self.assertEqual(join_query(\"/x\", {\"k\": \"v\"}), \"/x?k=v\")\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 3, \"skipped\": 0, \"passed\": false}\n\ntest_add_q (test_solution.Test.test_add_q) ... ERROR\ntest_empty_extra (test_solution.Test.test_empty_extra) ... ok\ntest_merge (test_solution.Test.test_merge) ... ERROR\ntest_override (test_solution.Test.test_override) ... ERROR\n\n======================================================================\nERROR: test_add_q (test_solution.Test.test_add_q)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\test_solution.py\", line 12, in test_add_q\n self.assertEqual(join_query(\"/x\", {\"k\": \"v\"}), \"/x?k=v\")\n ~~~~~~~~~~^^^^^^^^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\solution.py\", line 22, in join_query\n return path - \"?\" + joined\n ~~~~~^~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n======================================================================\nERROR: test_merge (test_solution.Test.test_merge)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-5n6hdrz_\\test_solution.py\", line 6, in test_merge\n self.assertEqual(join_query(\"/x?a=1\", {\"b\": \"2\"}), \"/x?a=1&b=2\")\n ~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Te", "provenance": {"commit": "8f8b212de8c2129d7954c6cd373762880375620a", "derived": true, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache-2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "github_permissive", "source_id": "psf/requests", "source_type": "open_source", "source_url": "https://github.com/psf/requests/blob/8f8b212de8c2129d7954c6cd373762880375620a/src/requests/utils.py", "source_version": null, "transformation": "original_task_inspired_by_permissive_github; verbatim=false", "trust_tier": "tier5_implementation", "unknown_reason": null}, "quality": {"evidence_confidence": 0.627, "notes": [], "score_components": {"authority_score": 0.65, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def join_query(base, extra):\n if \"?\" in base:\n path, qs = base.split(\"?\", 1)\n pairs = {}\n if qs:\n for part in qs.split(\"&\"):\n if not part:\n continue\n if \"=\" in part:\n k, v = part.split(\"=\", 1)\n pairs[k] = v\n else:\n pairs[part] = \"\"\n else:\n pairs = {}\n else:\n path, pairs = base, {}\n pairs.update(extra)\n if not pairs:\n return path\n joined = \"&\".join(f\"{k}={v}\" for k, v in pairs.items())\n return path + \"?\" + joined", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 4}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_add_q (test_solution.Test.test_add_q) ... ok\ntest_empty_extra (test_solution.Test.test_empty_extra) ... ok\ntest_merge (test_solution.Test.test_merge) ... ok\ntest_override (test_solution.Test.test_override) ... ok\n\n----------------------------------------------------------------------\nRan 4 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 4, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 4}}
{"answer": "def backoff_delays(retries, base=0.5):\n return [base * (2 ** i) for i in range(retries)]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def backoff_delays(retries, base=0.5):\n    return [base * (2 ** i) for i in range(retries)]\n", "test_solution.py": "import unittest\nfrom solution import backoff_delays\n\nclass Test(unittest.TestCase):\n    def test_three(self):\n        self.assertEqual(backoff_delays(3, 0.5), [0.5, 1.0, 2.0])\n    def test_zero(self):\n        self.assertEqual(backoff_delays(0), [])\n    def test_one(self):\n        self.assertEqual(backoff_delays(1, 1.0), [1.0])\n"}}, "topic": "http"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-gh-retry-backoff-115fab63653b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 4.825}, "github_repo": "encode/httpx", "inspired_by": "github", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "gh-retry-backoff", "topic": "http", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `backoff_delays(retries: int, base: float = 0.5) -> list[float]`.\n\nReturn `retries` delays: base, 2*base, 4*base, ... (exponential). retries=0\nreturns []. Do not cap. Inspired by typical HTTP client retry spacing.", "provenance": {"commit": "b5addb64f0161ff6bfe94c124ef76f6a1fba5254", "derived": true, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "BSD-3-Clause", "license_spdx": "BSD-3-Clause", "retrieved_at": null, "source": "github_permissive", "source_id": "encode/httpx", "source_type": "open_source", "source_url": "https://github.com/encode/httpx/blob/b5addb64f0161ff6bfe94c124ef76f6a1fba5254/httpx/_utils.py", "source_version": null, "transformation": "original_task_inspired_by_permissive_github; verbatim=false", "trust_tier": "tier5_implementation", "unknown_reason": null}, "quality": {"evidence_confidence": 0.627, "notes": [], "score_components": {"authority_score": 0.65, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def backoff_delays(retries, base=0.5):\n return [base * (2 ** i) for i in range(retries)]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_one (test_solution.Test.test_one) ... ok\ntest_three (test_solution.Test.test_three) ... ok\ntest_zero (test_solution.Test.test_zero) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def parse_flags(argv):\n out = {\"_\": []}\n i = 0\n while i < len(argv):\n tok = argv[i]\n if tok.startswith(\"--\") and len(tok) > 2:\n name = tok[2:]\n if i + 1 < len(argv) and not argv[i + 1].startswith(\"--\"):\n out[name] = argv[i + 1]\n i += 2\n else:\n out[name] = True\n i += 1\n else:\n out[\"_\"].append(tok)\n i += 1\n return out", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def parse_flags(argv):\n    out = {\"_\": []}\n    i = 0\n    while i < len(argv):\n        tok = argv[i]\n        if tok.startswith(\"--\") and len(tok) > 2:\n            name = tok[2:]\n            if i + 1 < len(argv) and not argv[i + 1].startswith(\"--\"):\n                out[name] = argv[i + 1]\n                i += 2\n            else:\n                out[name] = True\n                i += 1\n        else:\n            out[\"_\"].append(tok)\n            i += 1\n    return out\n", "test_solution.py": "import unittest\nfrom solution import parse_flags\n\nclass Test(unittest.TestCase):\n    def test_pair(self):\n        self.assertEqual(parse_flags([\"--n\", \"2\", \"file\"]), {\"n\": \"2\", \"_\": [\"file\"]})\n    def test_bool(self):\n        self.assertEqual(parse_flags([\"--verbose\"]), {\"verbose\": True, \"_\": []})\n    def test_pos_only(self):\n        self.assertEqual(parse_flags([\"a\", \"b\"]), {\"_\": [\"a\", \"b\"]})\n"}}, "topic": "cli"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-gh-flag-parse-9f96d54fd298", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.725, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.05, "tests": 0.0, "total": 7.375}, "github_repo": "pallets/click", "inspired_by": "github", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "gh-flag-parse", "topic": "cli", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `parse_flags(argv: list[str]) -> dict`.\n\nTreat tokens starting with `--` as flags. `--name value` stores value as str.\n`--toggle` with no following non-flag token stores True. Positional tokens\n(not after a flag) go to key `_`. Example: `['--n','2','file']` →\n`{'n':'2', '_': ['file']}`.", "provenance": {"commit": "61b69e967e525bd502f5bf42def4d551e761fe0e", "derived": true, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "BSD-3-Clause", "license_spdx": "BSD-3-Clause", "retrieved_at": null, "source": "github_permissive", "source_id": "pallets/click", "source_type": "open_source", "source_url": "https://github.com/pallets/click/blob/61b69e967e525bd502f5bf42def4d551e761fe0e/src/click/parser.py", "source_version": null, "transformation": "original_task_inspired_by_permissive_github; verbatim=false", "trust_tier": "tier5_implementation", "unknown_reason": null}, "quality": {"evidence_confidence": 0.627, "notes": [], "score_components": {"authority_score": 0.65, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def parse_flags(argv):\n out = {\"_\": []}\n i = 0\n while i < len(argv):\n tok = argv[i]\n if tok.startswith(\"--\") and len(tok) > 2:\n name = tok[2:]\n if i + 1 < len(argv) and not argv[i + 1].startswith(\"--\"):\n out[name] = argv[i + 1]\n i += 2\n else:\n out[name] = True\n i += 1\n else:\n out[\"_\"].append(tok)\n i += 1\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bool (test_solution.Test.test_bool) ... ok\ntest_pair (test_solution.Test.test_pair) ... ok\ntest_pos_only (test_solution.Test.test_pos_only) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def parse_flags(argv):\n out = {\"_\": []}\n i = 0\n while i < len(argv):\n tok = argv[i]\n if tok.startswith(\"--\") and len(tok) > 2:\n name = tok[2:]\n if i + 1 < len(argv) and not argv[i + 1].startswith(\"--\"):\n out[name] = argv[i + 1]\n i += 2\n else:\n out[name] = True\n i += 1\n else:\n out[\"_\"].append(tok)\n i += 1\n return out", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_bool (test_solution.Test.test_bool) ... ERROR\ntest_pair (test_solution.Test.test_pair) ... ok\ntest_pos_only (test_solution.Test.test_pos_only) ... ok\n\n======================================================================\nERROR: test_bool (test_solution.Test.test_bool)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7987u65q\\test_solution.py\", line 8, in test_bool\n    self.assertEqual(parse_flags([\"--verbose\"]), {\"verbose\": True, \"_\": []})\n                     ~~~~~~~~~~~^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7987u65q\\solution.py\", line 8, in parse_flags\n    if i - 1 < len(argv) and not argv[i + 1].startswith(\"--\"):\n                                 ~~~~^^^^^^^\nIndexError: list index out of range\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def parse_flags(argv):\n    out = {\"_\": []}\n    i = 0\n    while i < len(argv):\n        tok = argv[i]\n        if tok.startswith(\"--\") and len(tok) > 2:\n            name = tok[2:]\n            if i - 1 < len(argv) and not argv[i + 1].startswith(\"--\"):\n                out[name] = argv[i + 1]\n                i += 2\n            else:\n                out[name] = True\n                i += 1\n        else:\n            out[\"_\"].append(tok)\n            i += 1\n    return out\n", "test_solution.py": "import unittest\nfrom solution import parse_flags\n\nclass Test(unittest.TestCase):\n    def test_pair(self):\n        self.assertEqual(parse_flags([\"--n\", \"2\", \"file\"]), {\"n\": \"2\", \"_\": [\"file\"]})\n    def test_bool(self):\n        self.assertEqual(parse_flags([\"--verbose\"]), {\"verbose\": True, \"_\": []})\n    def test_pos_only(self):\n        self.assertEqual(parse_flags([\"a\", \"b\"]), {\"_\": [\"a\", \"b\"]})\n"}}, "topic": "cli"}, "difficulty": "expert", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-gh-flag-parse-a4df01c3ebd5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.725, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 11.025}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 0, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_bool (test_solution.Test.test_bool) ... ERROR\ntest_pair (test_solution.Test.test_pair) ... ok\ntest_pos_only (test_solution.Test.test_pos_only) ... ok\n\n======================================================================\nERROR: test_bool (test_solution.Test.test_bool)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7987u65q\\test_solution.py\", line 8, in test_bool\n    self.assertEqual(parse_flags([\"--verbose\"]), {\"verbose\": True, \"_\": []})\n                     ~~~~~~~~~~~^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7987u65q\\solution.py\", line 8, in parse_flags\n    if i - 1 < len(argv) and not argv[i + 1].startswith(\"--\"):\n                                 ~~~~^^^^^^^\nIndexError: list index out of range\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 2}, "github_repo": "pallets/click", "inspired_by": "github", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "gh-flag-parse", "tests_passed_after_fix": 3, "topic": "cli", "verbatim": false}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `parse_flags(argv: list[str]) -> dict`.\n\nTreat tokens starting with `--` as flags. `--name value` stores value as str.\n`--toggle` with no following non-flag token stores True. Positional tokens\n(not after a flag) go to key `_`. Example: `['--n','2','file']` →\n`{'n':'2', '_': ['file']}`.\n\n--- solution.py (buggy) ---\ndef parse_flags(argv):\n out = {\"_\": []}\n i = 0\n while i < len(argv):\n tok = argv[i]\n if tok.startswith(\"--\") and len(tok) > 2:\n name = tok[2:]\n if i - 1 < len(argv) and not argv[i + 1].startswith(\"--\"):\n out[name] = argv[i + 1]\n i += 2\n else:\n out[name] = True\n i += 1\n else:\n out[\"_\"].append(tok)\n i += 1\n return out\n\n--- test_solution.py ---\nimport unittest\nfrom solution import parse_flags\n\nclass Test(unittest.TestCase):\n def test_pair(self):\n self.assertEqual(parse_flags([\"--n\", \"2\", \"file\"]), {\"n\": \"2\", \"_\": [\"file\"]})\n def test_bool(self):\n self.assertEqual(parse_flags([\"--verbose\"]), {\"verbose\": True, \"_\": []})\n def test_pos_only(self):\n self.assertEqual(parse_flags([\"a\", \"b\"]), {\"_\": [\"a\", \"b\"]})\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_bool (test_solution.Test.test_bool) ... ERROR\ntest_pair (test_solution.Test.test_pair) ... ok\ntest_pos_only (test_solution.Test.test_pos_only) ... ok\n\n======================================================================\nERROR: test_bool (test_solution.Test.test_bool)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7987u65q\\test_solution.py\", line 8, in test_bool\n self.assertEqual(parse_flags([\"--verbose\"]), {\"verbose\": True, \"_\": []})\n ~~~~~~~~~~~^^^^^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-7987u65q\\solution.py\", line 8, in parse_flags\n if i - 1 < len(argv) and not argv[i + 1].startswith(\"--\"):\n ~~~~^^^^^^^\nIndexError: list index out of range\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (errors=1)", "provenance": {"commit": "61b69e967e525bd502f5bf42def4d551e761fe0e", "derived": true, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "BSD-3-Clause", "license_spdx": "BSD-3-Clause", "retrieved_at": null, "source": "github_permissive", "source_id": "pallets/click", "source_type": "open_source", "source_url": "https://github.com/pallets/click/blob/61b69e967e525bd502f5bf42def4d551e761fe0e/src/click/parser.py", "source_version": null, "transformation": "original_task_inspired_by_permissive_github; verbatim=false", "trust_tier": "tier5_implementation", "unknown_reason": null}, "quality": {"evidence_confidence": 0.627, "notes": [], "score_components": {"authority_score": 0.65, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def parse_flags(argv):\n out = {\"_\": []}\n i = 0\n while i < len(argv):\n tok = argv[i]\n if tok.startswith(\"--\") and len(tok) > 2:\n name = tok[2:]\n if i + 1 < len(argv) and not argv[i + 1].startswith(\"--\"):\n out[name] = argv[i + 1]\n i += 2\n else:\n out[name] = True\n i += 1\n else:\n out[\"_\"].append(tok)\n i += 1\n return out", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bool (test_solution.Test.test_bool) ... ok\ntest_pair (test_solution.Test.test_pair) ... ok\ntest_pos_only (test_solution.Test.test_pos_only) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def merge_headers(*maps):\n order = []\n lower = {}\n for mapping in maps:\n for key, value in mapping.items():\n lk = key.lower()\n if lk in lower:\n order.remove(lower[lk][0])\n lower[lk] = (key, value)\n order.append(key)\n return {k: lower[k.lower()][1] for k in order}", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def merge_headers(*maps):\n    order = []\n    lower = {}\n    for mapping in maps:\n        for key, value in mapping.items():\n            lk = key.lower()\n            if lk in lower:\n                order.remove(lower[lk][0])\n            lower[lk] = (key, value)\n            order.append(key)\n    return {k: lower[k.lower()][1] for k in order}\n", "test_solution.py": "import unittest\nfrom solution import merge_headers\n\nclass Test(unittest.TestCase):\n    def test_override_case(self):\n        got = merge_headers({\"Accept\": \"a\"}, {\"accept\": \"b\"})\n        self.assertEqual(list(got.values()), [\"b\"])\n        self.assertEqual(len(got), 1)\n    def test_keep(self):\n        got = merge_headers({\"A\": \"1\"}, {\"B\": \"2\"})\n        self.assertEqual(got[\"A\"], \"1\")\n        self.assertEqual(got[\"B\"], \"2\")\n"}}, "topic": "http"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-gh-header-merge-c0e48f1c7251", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.625, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.775, "tests": 0.0, "total": 5.125}, "github_repo": "encode/httpx", "inspired_by": "github", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "gh-header-merge", "topic": "http", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `merge_headers(*maps: dict[str, str]) -> dict[str, str]`.\n\nLater maps override earlier ones. Header names are compared case-insensitively\nbut the **last seen original casing** is kept as the key. Values are strings.", "provenance": {"commit": "b5addb64f0161ff6bfe94c124ef76f6a1fba5254", "derived": true, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "BSD-3-Clause", "license_spdx": "BSD-3-Clause", "retrieved_at": null, "source": "github_permissive", "source_id": "encode/httpx", "source_type": "open_source", "source_url": "https://github.com/encode/httpx/blob/b5addb64f0161ff6bfe94c124ef76f6a1fba5254/httpx/_utils.py", "source_version": null, "transformation": "original_task_inspired_by_permissive_github; verbatim=false", "trust_tier": "tier5_implementation", "unknown_reason": null}, "quality": {"evidence_confidence": 0.627, "notes": [], "score_components": {"authority_score": 0.65, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def merge_headers(*maps):\n order = []\n lower = {}\n for mapping in maps:\n for key, value in mapping.items():\n lk = key.lower()\n if lk in lower:\n order.remove(lower[lk][0])\n lower[lk] = (key, value)\n order.append(key)\n return {k: lower[k.lower()][1] for k in order}", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_keep (test_solution.Test.test_keep) ... ok\ntest_override_case (test_solution.Test.test_override_case) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def iter_chunks(data, size):\n if size <= 0:\n raise ValueError(\"size\")\n return [data[i:i + size] for i in range(0, len(data), size)]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def iter_chunks(data, size):\n    if size <= 0:\n        raise ValueError(\"size\")\n    return [data[i:i + size] for i in range(0, len(data), size)]\n", "test_solution.py": "import unittest\nfrom solution import iter_chunks\n\nclass Test(unittest.TestCase):\n    def test_split(self):\n        self.assertEqual(iter_chunks(b\"abcdef\", 2), [b\"ab\", b\"cd\", b\"ef\"])\n    def test_short(self):\n        self.assertEqual(iter_chunks(b\"ab\", 5), [b\"ab\"])\n    def test_empty(self):\n        self.assertEqual(iter_chunks(b\"\", 3), [])\n"}}, "topic": "io"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-gh-iter-chunks-2854e75f1a60", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.775, "tests": 0.0, "total": 4.15}, "github_repo": "psf/requests", "inspired_by": "github", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "gh-iter-chunks", "topic": "io", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `iter_chunks(data: bytes, size: int) -> list[bytes]`.\n\nSplit `data` into consecutive chunks of at most `size` bytes. size must be > 0.\nEmpty data returns []. Last chunk may be shorter.", "provenance": {"commit": "8f8b212de8c2129d7954c6cd373762880375620a", "derived": true, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache-2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "github_permissive", "source_id": "psf/requests", "source_type": "open_source", "source_url": "https://github.com/psf/requests/blob/8f8b212de8c2129d7954c6cd373762880375620a/src/requests/utils.py", "source_version": null, "transformation": "original_task_inspired_by_permissive_github; verbatim=false", "trust_tier": "tier5_implementation", "unknown_reason": null}, "quality": {"evidence_confidence": 0.627, "notes": [], "score_components": {"authority_score": 0.65, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def iter_chunks(data, size):\n if size <= 0:\n raise ValueError(\"size\")\n return [data[i:i + size] for i in range(0, len(data), size)]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_empty (test_solution.Test.test_empty) ... ok\ntest_short (test_solution.Test.test_short) ... ok\ntest_split (test_solution.Test.test_split) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def flag_or_env(flag, env, default):\n for item in (flag, env):\n if item is not None and item.strip():\n return item\n return default", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def flag_or_env(flag, env, default):\n    for item in (flag, env):\n        if item is not None and item.strip():\n            return item\n    return default\n", "test_solution.py": "import unittest\nfrom solution import flag_or_env\n\nclass Test(unittest.TestCase):\n    def test_flag(self):\n        self.assertEqual(flag_or_env(\"a\", \"b\", \"c\"), \"a\")\n    def test_env(self):\n        self.assertEqual(flag_or_env(\"  \", \"b\", \"c\"), \"b\")\n    def test_default(self):\n        self.assertEqual(flag_or_env(None, None, \"c\"), \"c\")\n"}}, "topic": "cli"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-gh-opt-env-aa6c228468e1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 4.15}, "github_repo": "pallets/click", "inspired_by": "github", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "gh-opt-env", "topic": "cli", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `flag_or_env(flag: str | None, env: str | None, default: str) -> str`.\n\nPrecedence: non-empty flag, else non-empty env, else default. Whitespace-only\ncounts as empty.", "provenance": {"commit": "61b69e967e525bd502f5bf42def4d551e761fe0e", "derived": true, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "BSD-3-Clause", "license_spdx": "BSD-3-Clause", "retrieved_at": null, "source": "github_permissive", "source_id": "pallets/click", "source_type": "open_source", "source_url": "https://github.com/pallets/click/blob/61b69e967e525bd502f5bf42def4d551e761fe0e/src/click/parser.py", "source_version": null, "transformation": "original_task_inspired_by_permissive_github; verbatim=false", "trust_tier": "tier5_implementation", "unknown_reason": null}, "quality": {"evidence_confidence": 0.627, "notes": [], "score_components": {"authority_score": 0.65, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def flag_or_env(flag, env, default):\n for item in (flag, env):\n if item is not None and item.strip():\n return item\n return default", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_default (test_solution.Test.test_default) ... ok\ntest_env (test_solution.Test.test_env) ... ok\ntest_flag (test_solution.Test.test_flag) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def safe_urljoin(base, path):\n if not path:\n return base\n if path.startswith(\"/\"):\n if \"://\" in base:\n scheme, rest = base.split(\"://\", 1)\n host = rest.split(\"/\", 1)[0]\n return f\"{scheme}://{host}{path}\"\n return path\n if base.endswith(\"/\"):\n return base + path\n return base + \"/\" + path", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def safe_urljoin(base, path):\n    if not path:\n        return base\n    if path.startswith(\"/\"):\n        if \"://\" in base:\n            scheme, rest = base.split(\"://\", 1)\n            host = rest.split(\"/\", 1)[0]\n            return f\"{scheme}://{host}{path}\"\n        return path\n    if base.endswith(\"/\"):\n        return base + path\n    return base + \"/\" + path\n", "test_solution.py": "import unittest\nfrom solution import safe_urljoin\n\nclass Test(unittest.TestCase):\n    def test_rel(self):\n        self.assertEqual(safe_urljoin(\"https://ex/a\", \"b\"), \"https://ex/a/b\")\n    def test_abs(self):\n        self.assertEqual(safe_urljoin(\"https://ex/a/b\", \"/z\"), \"https://ex/z\")\n    def test_slash(self):\n        self.assertEqual(safe_urljoin(\"https://ex/a/\", \"b\"), \"https://ex/a/b\")\n"}}, "topic": "paths"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-gh-safe-join-db6fde44f314", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.15, "tests": 0.0, "total": 7.35}, "github_repo": "psf/requests", "inspired_by": "github", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "gh-safe-join", "topic": "paths", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `safe_urljoin(base: str, path: str) -> str`.\n\nIf path is empty, return base without a trailing slash unless base is exactly\na scheme host like `https://ex`. If path starts with `/`, replace the path\nportion of base. Otherwise append path to base, inserting `/` if needed.", "provenance": {"commit": "8f8b212de8c2129d7954c6cd373762880375620a", "derived": true, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache-2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "github_permissive", "source_id": "psf/requests", "source_type": "open_source", "source_url": "https://github.com/psf/requests/blob/8f8b212de8c2129d7954c6cd373762880375620a/src/requests/utils.py", "source_version": null, "transformation": "original_task_inspired_by_permissive_github; verbatim=false", "trust_tier": "tier5_implementation", "unknown_reason": null}, "quality": {"evidence_confidence": 0.627, "notes": [], "score_components": {"authority_score": 0.65, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def safe_urljoin(base, path):\n if not path:\n return base\n if path.startswith(\"/\"):\n if \"://\" in base:\n scheme, rest = base.split(\"://\", 1)\n host = rest.split(\"/\", 1)[0]\n return f\"{scheme}://{host}{path}\"\n return path\n if base.endswith(\"/\"):\n return base + path\n return base + \"/\" + path", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_abs (test_solution.Test.test_abs) ... ok\ntest_rel (test_solution.Test.test_rel) ... ok\ntest_slash (test_solution.Test.test_slash) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def safe_urljoin(base, path):\n if not path:\n return base\n if path.startswith(\"/\"):\n if \"://\" in base:\n scheme, rest = base.split(\"://\", 1)\n host = rest.split(\"/\", 1)[0]\n return f\"{scheme}://{host}{path}\"\n return path\n if base.endswith(\"/\"):\n return base + path\n return base + \"/\" + path", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_abs (test_solution.Test.test_abs) ... ok\ntest_rel (test_solution.Test.test_rel) ... ok\ntest_slash (test_solution.Test.test_slash) ... ERROR\n\n======================================================================\nERROR: test_slash (test_solution.Test.test_slash)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bn8accnf\\test_solution.py\", line 10, in test_slash\n    self.assertEqual(safe_urljoin(\"https://ex/a/\", \"b\"), \"https://ex/a/b\")\n                     ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bn8accnf\\solution.py\", line 11, in safe_urljoin\n    return base - path\n           ~~~~~^~~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def safe_urljoin(base, path):\n    if not path:\n        return base\n    if path.startswith(\"/\"):\n        if \"://\" in base:\n            scheme, rest = base.split(\"://\", 1)\n            host = rest.split(\"/\", 1)[0]\n            return f\"{scheme}://{host}{path}\"\n        return path\n    if base.endswith(\"/\"):\n        return base - path\n    return base + \"/\" + path\n", "test_solution.py": "import unittest\nfrom solution import safe_urljoin\n\nclass Test(unittest.TestCase):\n    def test_rel(self):\n        self.assertEqual(safe_urljoin(\"https://ex/a\", \"b\"), \"https://ex/a/b\")\n    def test_abs(self):\n        self.assertEqual(safe_urljoin(\"https://ex/a/b\", \"/z\"), \"https://ex/z\")\n    def test_slash(self):\n        self.assertEqual(safe_urljoin(\"https://ex/a/\", \"b\"), \"https://ex/a/b\")\n"}}, "topic": "paths"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-gh-safe-join-d2b957d86678", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.6, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.899999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 0, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_abs (test_solution.Test.test_abs) ... ok\ntest_rel (test_solution.Test.test_rel) ... ok\ntest_slash (test_solution.Test.test_slash) ... ERROR\n\n======================================================================\nERROR: test_slash (test_solution.Test.test_slash)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bn8accnf\\test_solution.py\", line 10, in test_slash\n    self.assertEqual(safe_urljoin(\"https://ex/a/\", \"b\"), \"https://ex/a/b\")\n                     ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bn8accnf\\solution.py\", line 11, in safe_urljoin\n    return base - path\n           ~~~~~^~~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 2}, "github_repo": "psf/requests", "inspired_by": "github", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "gh-safe-join", "tests_passed_after_fix": 3, "topic": "paths", "verbatim": false}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `safe_urljoin(base: str, path: str) -> str`.\n\nIf path is empty, return base without a trailing slash unless base is exactly\na scheme host like `https://ex`. If path starts with `/`, replace the path\nportion of base. Otherwise append path to base, inserting `/` if needed.\n\n--- solution.py (buggy) ---\ndef safe_urljoin(base, path):\n if not path:\n return base\n if path.startswith(\"/\"):\n if \"://\" in base:\n scheme, rest = base.split(\"://\", 1)\n host = rest.split(\"/\", 1)[0]\n return f\"{scheme}://{host}{path}\"\n return path\n if base.endswith(\"/\"):\n return base - path\n return base + \"/\" + path\n\n--- test_solution.py ---\nimport unittest\nfrom solution import safe_urljoin\n\nclass Test(unittest.TestCase):\n def test_rel(self):\n self.assertEqual(safe_urljoin(\"https://ex/a\", \"b\"), \"https://ex/a/b\")\n def test_abs(self):\n self.assertEqual(safe_urljoin(\"https://ex/a/b\", \"/z\"), \"https://ex/z\")\n def test_slash(self):\n self.assertEqual(safe_urljoin(\"https://ex/a/\", \"b\"), \"https://ex/a/b\")\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_abs (test_solution.Test.test_abs) ... ok\ntest_rel (test_solution.Test.test_rel) ... ok\ntest_slash (test_solution.Test.test_slash) ... ERROR\n\n======================================================================\nERROR: test_slash (test_solution.Test.test_slash)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bn8accnf\\test_solution.py\", line 10, in test_slash\n self.assertEqual(safe_urljoin(\"https://ex/a/\", \"b\"), \"https://ex/a/b\")\n ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-bn8accnf\\solution.py\", line 11, in safe_urljoin\n return base - path\n ~~~~~^~~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (errors=1)", "provenance": {"commit": "8f8b212de8c2129d7954c6cd373762880375620a", "derived": true, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache-2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "github_permissive", "source_id": "psf/requests", "source_type": "open_source", "source_url": "https://github.com/psf/requests/blob/8f8b212de8c2129d7954c6cd373762880375620a/src/requests/utils.py", "source_version": null, "transformation": "original_task_inspired_by_permissive_github; verbatim=false", "trust_tier": "tier5_implementation", "unknown_reason": null}, "quality": {"evidence_confidence": 0.627, "notes": [], "score_components": {"authority_score": 0.65, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def safe_urljoin(base, path):\n if not path:\n return base\n if path.startswith(\"/\"):\n if \"://\" in base:\n scheme, rest = base.split(\"://\", 1)\n host = rest.split(\"/\", 1)[0]\n return f\"{scheme}://{host}{path}\"\n return path\n if base.endswith(\"/\"):\n return base + path\n return base + \"/\" + path", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_abs (test_solution.Test.test_abs) ... ok\ntest_rel (test_solution.Test.test_rel) ... ok\ntest_slash (test_solution.Test.test_slash) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def add_tag(tag, bucket=None):\n if bucket is None:\n bucket = []\n bucket.append(tag)\n return bucket", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def add_tag(tag, bucket=None):\n    if bucket is None:\n        bucket = []\n    bucket.append(tag)\n    return bucket\n", "test_solution.py": "import unittest\nfrom solution import add_tag\n\nclass Test(unittest.TestCase):\n    def test_independent(self):\n        a = add_tag(\"x\")\n        b = add_tag(\"y\")\n        self.assertEqual(a, [\"x\"])\n        self.assertEqual(b, [\"y\"])\n    def test_reuse(self):\n        acc = []\n        add_tag(\"a\", acc)\n        add_tag(\"b\", acc)\n        self.assertEqual(acc, [\"a\", \"b\"])\n"}}, "topic": "python"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-so-mutable-default-17e8f341019b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 4.5}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-mutable-default", "topic": "python", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `add_tag(tag: str, bucket: list[str] | None = None) -> list[str]`.\n\nAppend tag to a **new** list when bucket is None. Never use a shared mutable\ndefault. Return the list.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def add_tag(tag, bucket=None):\n if bucket is None:\n bucket = []\n bucket.append(tag)\n return bucket", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_independent (test_solution.Test.test_independent) ... ok\ntest_reuse (test_solution.Test.test_reuse) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def make_multipliers(n):\n return [lambda x, i=i: i * x for i in range(n)]", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def make_multipliers(n):\n    return [lambda x, i=i: i * x for i in range(n)]\n", "test_solution.py": "import unittest\nfrom solution import make_multipliers\n\nclass Test(unittest.TestCase):\n    def test_bind(self):\n        fns = make_multipliers(3)\n        self.assertEqual([fn(2) for fn in fns], [0, 2, 4])\n"}}, "topic": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-so-late-binding-44c403e1be34", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.275, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.300000000000001}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-late-binding", "topic": "python", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `make_multipliers(n: int) -> list`.\n\nReturn n functions f_i where f_i(x) == i * x for i in 0..n-1. Bind i at\ndefinition time so later loop variables cannot change earlier closures.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def make_multipliers(n):\n return [lambda x, i=i: i * x for i in range(n)]", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bind (test_solution.Test.test_bind) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def same_object(a, b):\n return a is b\n\ndef same_value(a, b):\n return a == b", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def same_object(a, b):\n    return a is b\n\ndef same_value(a, b):\n    return a == b\n", "test_solution.py": "import unittest\nfrom solution import same_object, same_value\n\nclass Test(unittest.TestCase):\n    def test_alias(self):\n        x = []\n        self.assertTrue(same_object(x, x))\n        self.assertFalse(same_object([], []))\n    def test_eq(self):\n        self.assertTrue(same_value([1], [1]))\n"}}, "topic": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-so-is-vs-eq-594dd29a7a12", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.0}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-is-vs-eq", "topic": "python", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `same_object(a, b) -> bool` using identity, and\n`same_value(a, b) -> bool` using equality. Do not use `is` for string/int value\ncomparisons inside same_value.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def same_object(a, b):\n return a is b\n\ndef same_value(a, b):\n return a == b", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_alias (test_solution.Test.test_alias) ... ok\ntest_eq (test_solution.Test.test_eq) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def same_object(a, b):\n return a is b\n\ndef same_value(a, b):\n return a == b", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_alias (test_solution.Test.test_alias) ... ok\ntest_eq (test_solution.Test.test_eq) ... FAIL\n\n======================================================================\nFAIL: test_eq (test_solution.Test.test_eq)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-l7hn3cgg\\test_solution.py\", line 10, in test_eq\n    self.assertTrue(same_value([1], [1]))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def same_object(a, b):\n    return a is b\n\ndef same_value(a, b):\n    return a != b\n", "test_solution.py": "import unittest\nfrom solution import same_object, same_value\n\nclass Test(unittest.TestCase):\n    def test_alias(self):\n        x = []\n        self.assertTrue(same_object(x, x))\n        self.assertFalse(same_object([], []))\n    def test_eq(self):\n        self.assertTrue(same_value([1], [1]))\n"}}, "topic": "python"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-so-is-vs-eq-c8484319d655", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 3.425, "tests": 0.0, "total": 10.149999999999999}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 1, "passed": false, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_alias (test_solution.Test.test_alias) ... ok\ntest_eq (test_solution.Test.test_eq) ... FAIL\n\n======================================================================\nFAIL: test_eq (test_solution.Test.test_eq)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-l7hn3cgg\\test_solution.py\", line 10, in test_eq\n    self.assertTrue(same_value([1], [1]))\n    ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 1}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-is-vs-eq", "tests_passed_after_fix": 2, "topic": "python", "verbatim": false}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `same_object(a, b) -> bool` using identity, and\n`same_value(a, b) -> bool` using equality. Do not use `is` for string/int value\ncomparisons inside same_value.\n\n--- solution.py (buggy) ---\ndef same_object(a, b):\n return a is b\n\ndef same_value(a, b):\n return a != b\n\n--- test_solution.py ---\nimport unittest\nfrom solution import same_object, same_value\n\nclass Test(unittest.TestCase):\n def test_alias(self):\n x = []\n self.assertTrue(same_object(x, x))\n self.assertFalse(same_object([], []))\n def test_eq(self):\n self.assertTrue(same_value([1], [1]))\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 1, \"errors\": 0, \"skipped\": 0, \"passed\": false}\n\ntest_alias (test_solution.Test.test_alias) ... ok\ntest_eq (test_solution.Test.test_eq) ... FAIL\n\n======================================================================\nFAIL: test_eq (test_solution.Test.test_eq)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-l7hn3cgg\\test_solution.py\", line 10, in test_eq\n self.assertTrue(same_value([1], [1]))\n ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^\nAssertionError: False is not true\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nFAILED (failures=1)", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def same_object(a, b):\n return a is b\n\ndef same_value(a, b):\n return a == b", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_alias (test_solution.Test.test_alias) ... ok\ntest_eq (test_solution.Test.test_eq) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def shallow_copy(xs):\n return list(xs)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def shallow_copy(xs):\n    return list(xs)\n", "test_solution.py": "import unittest\nfrom solution import shallow_copy\n\nclass Test(unittest.TestCase):\n    def test_new(self):\n        a = [1, 2]\n        b = shallow_copy(a)\n        b.append(3)\n        self.assertEqual(a, [1, 2])\n        self.assertEqual(b, [1, 2, 3])\n"}}, "topic": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-so-copy-list-337185c5e964", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 3.825}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-copy-list", "topic": "python", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `shallow_copy(xs: list) -> list` that is a new list with\nthe same elements (shallow). Mutating the copy's slots must not change the\noriginal's length or slot identities for immutables.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def shallow_copy(xs):\n return list(xs)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_new (test_solution.Test.test_new) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def chunks_needed(n, size):\n if size <= 0:\n raise ValueError(\"size\")\n return (n + size - 1) // size", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def chunks_needed(n, size):\n    if size <= 0:\n        raise ValueError(\"size\")\n    return (n + size - 1) // size\n", "test_solution.py": "import unittest\nfrom solution import chunks_needed\n\nclass Test(unittest.TestCase):\n    def test_exact(self):\n        self.assertEqual(chunks_needed(10, 5), 2)\n    def test_ceil(self):\n        self.assertEqual(chunks_needed(11, 5), 3)\n    def test_zero(self):\n        self.assertEqual(chunks_needed(0, 5), 0)\n"}}, "topic": "python"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-so-floor-div-afc6284ae1b2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.4, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.675, "tests": 0.0, "total": 4.800000000000001}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-floor-div", "topic": "python", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `chunks_needed(n: int, size: int) -> int`.\n\nHow many blocks of `size` are needed to cover n items? size > 0. Use\nceiling division without floating point.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def chunks_needed(n, size):\n if size <= 0:\n raise ValueError(\"size\")\n return (n + size - 1) // size", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ceil (test_solution.Test.test_ceil) ... ok\ntest_exact (test_solution.Test.test_exact) ... ok\ntest_zero (test_solution.Test.test_zero) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def utf8_nbytes(text):\n return len(text.encode(\"utf-8\"))", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def utf8_nbytes(text):\n    return len(text.encode(\"utf-8\"))\n", "test_solution.py": "import unittest\nfrom solution import utf8_nbytes\n\nclass Test(unittest.TestCase):\n    def test_ascii(self):\n        self.assertEqual(utf8_nbytes(\"ab\"), 2)\n    def test_emoji(self):\n        self.assertGreater(utf8_nbytes(\"é\"), 1)\n"}}, "topic": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-so-utf8-len-51d2ab0e2487", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.75}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-utf8-len", "topic": "python", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `utf8_nbytes(text: str) -> int`: number of bytes in the\nUTF-8 encoding of text.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def utf8_nbytes(text):\n return len(text.encode(\"utf-8\"))", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_ascii (test_solution.Test.test_ascii) ... ok\ntest_emoji (test_solution.Test.test_emoji) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "import re\n\ndef bind_where(column, value):\n if not re.fullmatch(r\"[A-Za-z_][A-Za-z0-9_]*\", column):\n raise ValueError(\"column\")\n return f\"{column} = ?\", (value,)", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "import re\n\ndef bind_where(column, value):\n    if not re.fullmatch(r\"[A-Za-z_][A-Za-z0-9_]*\", column):\n        raise ValueError(\"column\")\n    return f\"{column} = ?\", (value,)\n", "test_solution.py": "import unittest\nfrom solution import bind_where\n\nclass Test(unittest.TestCase):\n    def test_ok(self):\n        sql, params = bind_where(\"name\", \"O'Brien\")\n        self.assertEqual(sql, \"name = ?\")\n        self.assertEqual(params, (\"O'Brien\",))\n    def test_bad(self):\n        with self.assertRaises(ValueError):\n            bind_where(\"name;drop\", \"x\")\n"}}, "topic": "sql"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-so-param-sql-1206a7a0075f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.95, "tests": 0.0, "total": 6.5249999999999995}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-param-sql", "topic": "sql", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `bind_where(column: str, value: str) -> tuple[str, tuple]`.\n\nReturn a parameterized fragment `col = ?` with a one-element tuple of value.\nAllow only column names matching `[A-Za-z_][A-Za-z0-9_]*`. Raise ValueError\notherwise. Do not interpolate value into the SQL string.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "import re\n\ndef bind_where(column, value):\n if not re.fullmatch(r\"[A-Za-z_][A-Za-z0-9_]*\", column):\n raise ValueError(\"column\")\n return f\"{column} = ?\", (value,)", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_bad (test_solution.Test.test_bad) ... ok\ntest_ok (test_solution.Test.test_ok) ... ok\n\n----------------------------------------------------------------------\nRan 2 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 2, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "def last_wins(pairs):\n out = {}\n for k, v in pairs:\n out[k] = v\n return out", "assumptions": [], "concept_id": "python.collections", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def last_wins(pairs):\n    out = {}\n    for k, v in pairs:\n        out[k] = v\n    return out\n", "test_solution.py": "import unittest\nfrom solution import last_wins\n\nclass Test(unittest.TestCase):\n    def test_override(self):\n        self.assertEqual(last_wins([(\"a\", 1), (\"b\", 2), (\"a\", 9)]), {\"a\": 9, \"b\": 2})\n"}}, "topic": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-so-dict-last-9b70b03695d2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.675, "tests": 0.0, "total": 3.9750000000000005}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-dict-last", "topic": "python", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `last_wins(pairs: list[tuple[str, int]]) -> dict[str, int]`.\n\nBuild a dict; later pairs override earlier ones for the same key. Preserve\ninsertion order of first-seen keys (Python 3.7+).", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def last_wins(pairs):\n out = {}\n for k, v in pairs:\n out[k] = v\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_override (test_solution.Test.test_override) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "def join_posix(*parts):\n nonempty = [p for p in parts if p]\n if not nonempty:\n return \"\"\n lead = nonempty[0].startswith(\"/\")\n bits = [p.strip(\"/\") for p in nonempty if p.strip(\"/\")]\n body = \"/\".join(bits)\n if lead:\n return \"/\" + body if body else \"/\"\n return body", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def join_posix(*parts):\n    nonempty = [p for p in parts if p]\n    if not nonempty:\n        return \"\"\n    lead = nonempty[0].startswith(\"/\")\n    bits = [p.strip(\"/\") for p in nonempty if p.strip(\"/\")]\n    body = \"/\".join(bits)\n    if lead:\n        return \"/\" + body if body else \"/\"\n    return body\n", "test_solution.py": "import unittest\nfrom solution import join_posix\n\nclass Test(unittest.TestCase):\n    def test_rel(self):\n        self.assertEqual(join_posix(\"a\", \"b\"), \"a/b\")\n    def test_abs(self):\n        self.assertEqual(join_posix(\"/var\", \"log\"), \"/var/log\")\n    def test_skip_empty(self):\n        self.assertEqual(join_posix(\"a\", \"\", \"c\"), \"a/c\")\n"}}, "topic": "python"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-so-path-parts-18dcca0de37a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.925, "tests": 0.0, "total": 6.7}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-path-parts", "topic": "python", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `join_posix(*parts: str) -> str` joining with `/`.\nCollapse duplicate slashes except do not try to be a full URL parser. Empty\nparts are skipped. Result must not start with `/` unless the first non-empty\npart did.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def join_posix(*parts):\n nonempty = [p for p in parts if p]\n if not nonempty:\n return \"\"\n lead = nonempty[0].startswith(\"/\")\n bits = [p.strip(\"/\") for p in nonempty if p.strip(\"/\")]\n body = \"/\".join(bits)\n if lead:\n return \"/\" + body if body else \"/\"\n return body", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_abs (test_solution.Test.test_abs) ... ok\ntest_rel (test_solution.Test.test_rel) ... ok\ntest_skip_empty (test_solution.Test.test_skip_empty) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def join_posix(*parts):\n nonempty = [p for p in parts if p]\n if not nonempty:\n return \"\"\n lead = nonempty[0].startswith(\"/\")\n bits = [p.strip(\"/\") for p in nonempty if p.strip(\"/\")]\n body = \"/\".join(bits)\n if lead:\n return \"/\" + body if body else \"/\"\n return body", "assumptions": [], "concept_id": "python.testing", "constraints": ["Do not weaken or delete tests", "Keep the public API"], "context": {"failure": {"command": "python harness.py", "output": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_abs (test_solution.Test.test_abs) ... ERROR\ntest_rel (test_solution.Test.test_rel) ... ok\ntest_skip_empty (test_solution.Test.test_skip_empty) ... ok\n\n======================================================================\nERROR: test_abs (test_solution.Test.test_abs)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-jz8pl0qa\\test_solution.py\", line 8, in test_abs\n    self.assertEqual(join_posix(\"/var\", \"log\"), \"/var/log\")\n                     ~~~~~~~~~~^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-jz8pl0qa\\solution.py\", line 9, in join_posix\n    return \"/\" - body if body else \"/\"\n           ~~~~^~~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (errors=1)\n"}, "language": "python", "repository": {"files": {"solution.py": "def join_posix(*parts):\n    nonempty = [p for p in parts if p]\n    if not nonempty:\n        return \"\"\n    lead = nonempty[0].startswith(\"/\")\n    bits = [p.strip(\"/\") for p in nonempty if p.strip(\"/\")]\n    body = \"/\".join(bits)\n    if lead:\n        return \"/\" - body if body else \"/\"\n    return body\n", "test_solution.py": "import unittest\nfrom solution import join_posix\n\nclass Test(unittest.TestCase):\n    def test_rel(self):\n        self.assertEqual(join_posix(\"a\", \"b\"), \"a/b\")\n    def test_abs(self):\n        self.assertEqual(join_posix(\"/var\", \"log\"), \"/var/log\")\n    def test_skip_empty(self):\n        self.assertEqual(join_posix(\"a\", \"\", \"c\"), \"a/c\")\n"}}, "topic": "python"}, "difficulty": "advanced", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-debug-so-path-parts-efaad430a99d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 3.0, "observations": 0.3, "plan": 1.6, "prompt_length": 4.0, "tests": 0.0, "total": 10.85}, "failure_verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 1, "failures": 0, "passed": false, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": false, "result": "failed", "runtime_s": null, "runtime_version": null, "stderr": "test_abs (test_solution.Test.test_abs) ... ERROR\ntest_rel (test_solution.Test.test_rel) ... ok\ntest_skip_empty (test_solution.Test.test_skip_empty) ... ok\n\n======================================================================\nERROR: test_abs (test_solution.Test.test_abs)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-jz8pl0qa\\test_solution.py\", line 8, in test_abs\n    self.assertEqual(join_posix(\"/var\", \"log\"), \"/var/log\")\n                     ~~~~~~~~~~^^^^^^^^^^^^^^^\n  File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-jz8pl0qa\\solution.py\", line 9, in join_posix\n    return \"/\" - body if body else \"/\"\n           ~~~~^~~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (errors=1)\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n", "tests_failed": 1, "tests_passed": 2}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-path-parts", "tests_passed_after_fix": 3, "topic": "python", "verbatim": false}, "natural_language": "en", "observations": ["Seeded mutation of the reference implementation."], "plan": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "prompt": "The following Python module fails its tests. Produce a corrected solution.py that preserves the intended behaviour.\n\nImplement `join_posix(*parts: str) -> str` joining with `/`.\nCollapse duplicate slashes except do not try to be a full URL parser. Empty\nparts are skipped. Result must not start with `/` unless the first non-empty\npart did.\n\n--- solution.py (buggy) ---\ndef join_posix(*parts):\n nonempty = [p for p in parts if p]\n if not nonempty:\n return \"\"\n lead = nonempty[0].startswith(\"/\")\n bits = [p.strip(\"/\") for p in nonempty if p.strip(\"/\")]\n body = \"/\".join(bits)\n if lead:\n return \"/\" - body if body else \"/\"\n return body\n\n--- test_solution.py ---\nimport unittest\nfrom solution import join_posix\n\nclass Test(unittest.TestCase):\n def test_rel(self):\n self.assertEqual(join_posix(\"a\", \"b\"), \"a/b\")\n def test_abs(self):\n self.assertEqual(join_posix(\"/var\", \"log\"), \"/var/log\")\n def test_skip_empty(self):\n self.assertEqual(join_posix(\"a\", \"\", \"c\"), \"a/c\")\n\n--- failure ---\nOPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 1, \"skipped\": 0, \"passed\": false}\n\ntest_abs (test_solution.Test.test_abs) ... ERROR\ntest_rel (test_solution.Test.test_rel) ... ok\ntest_skip_empty (test_solution.Test.test_skip_empty) ... ok\n\n======================================================================\nERROR: test_abs (test_solution.Test.test_abs)\n----------------------------------------------------------------------\nTraceback (most recent call last):\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-jz8pl0qa\\test_solution.py\", line 8, in test_abs\n self.assertEqual(join_posix(\"/var\", \"log\"), \"/var/log\")\n ~~~~~~~~~~^^^^^^^^^^^^^^^\n File \"C:\\Users\\matth\\AppData\\Local\\Temp\\open-reason-sandbox-jz8pl0qa\\solution.py\", line 9, in join_posix\n return \"/\" - body if body else \"/\"\n ~~~~^~~~~~\nTypeError: unsupported operand type(s) for -: 'str' and 'str'\n\n----------------------------------------------------------------------\nRan 3 tests in 0.001s\n\nFAILED (errors=1)", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def join_posix(*parts):\n nonempty = [p for p in parts if p]\n if not nonempty:\n return \"\"\n lead = nonempty[0].startswith(\"/\")\n bits = [p.strip(\"/\") for p in nonempty if p.strip(\"/\")]\n body = \"/\".join(bits)\n if lead:\n return \"/\" + body if body else \"/\"\n return body", "strategy": ["Reproduce the failure", "Identify the defect", "Apply a minimal fix", "Re-run tests"], "task_type": "debugging", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 3}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_abs (test_solution.Test.test_abs) ... ok\ntest_rel (test_solution.Test.test_rel) ... ok\ntest_skip_empty (test_solution.Test.test_skip_empty) ... ok\n\n----------------------------------------------------------------------\nRan 3 tests in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 3, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 3}}
{"answer": "def unique_stable(items):\n seen = set()\n out = []\n for item in items:\n if item in seen:\n continue\n seen.add(item)\n out.append(item)\n return out", "assumptions": [], "concept_id": "python.functions", "constraints": ["Use only the Python standard library unless the prompt says otherwise.", "The hidden tests in test_solution.py must pass."], "context": {"language": "python", "repository": {"files": {"solution.py": "def unique_stable(items):\n    seen = set()\n    out = []\n    for item in items:\n        if item in seen:\n            continue\n        seen.add(item)\n        out.append(item)\n    return out\n", "test_solution.py": "import unittest\nfrom solution import unique_stable\n\nclass Test(unittest.TestCase):\n    def test_order(self):\n        self.assertEqual(unique_stable([\"b\", \"a\", \"b\", \"c\"]), [\"b\", \"a\", \"c\"])\n"}}, "topic": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-py-so-unique-stable-5288814c0d68", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 3.425}, "inspired_by": "stackoverflow", "language": "python", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "so-unique-stable", "topic": "python", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "prompt": "Implement `unique_stable(items: list) -> list` keeping first\noccurrences only, preserving order.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:python", "verified": true}, "runtime": null, "solution": "def unique_stable(items):\n seen = set()\n out = []\n for item in items:\n if item in seen:\n continue\n seen.add(item)\n out.append(item)\n return out", "strategy": ["Read the specification", "Implement the function or class", "Satisfy the tests"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python harness.py", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "skipped": 0, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "test_order (test_solution.Test.test_order) ... ok\n\n----------------------------------------------------------------------\nRan 1 test in 0.000s\n\nOK\n", "stdout": "OPEN_REASON_RESULT {\"tests_run\": 1, \"failures\": 0, \"errors\": 0, \"skipped\": 0, \"passed\": true}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "SELECT dept, COUNT(*) AS headcount\nFROM employees\nGROUP BY dept\nHAVING COUNT(*) >= 2\nORDER BY headcount DESC, dept ASC;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["eng", 3], ["sales", 2]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT dept, COUNT(*) AS headcount\nFROM employees\nGROUP BY dept\nHAVING COUNT(*) >= 2\nORDER BY headcount DESC, dept ASC;\n", "schema.sql": "\nCREATE TABLE employees (id INTEGER, dept TEXT, salary INTEGER);\nINSERT INTO employees VALUES\n  (1, 'eng', 100), (2, 'eng', 110), (3, 'eng', 90),\n  (4, 'hr', 70), (5, 'sales', 80), (6, 'sales', 85);\n"}}, "topic": "sql"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-dept-headcount-b92f7ff72fcc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.55, "tests": 0.0, "total": 4.9750000000000005}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "dept_headcount"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "Tables: employees(id, dept, salary). Write a SQL query that returns dept and headcount for departments with at least 2 employees, ordered by headcount descending, then dept ascending.\n\nSchema and seed data:\nCREATE TABLE employees (id INTEGER, dept TEXT, salary INTEGER);\nINSERT INTO employees VALUES\n (1, 'eng', 100), (2, 'eng', 110), (3, 'eng', 90),\n (4, 'hr', 70), (5, 'sales', 80), (6, 'sales', 85);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT dept, COUNT(*) AS headcount\nFROM employees\nGROUP BY dept\nHAVING COUNT(*) >= 2\nORDER BY headcount DESC, dept ASC;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["eng", 3], ["sales", 2]], "failures": 0, "passed": true, "rows": [["eng", 3], ["sales", 2]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"eng\", 3], [\"sales\", 2]], \"expected\": [[\"eng\", 3], [\"sales\", 2]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT c.name, o.total\nFROM customers AS c\nJOIN orders AS o ON o.customer_id = c.id\nWHERE o.total >= 50\nORDER BY o.total DESC, c.name ASC;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["Ada", 80], ["Ben", 50]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT c.name, o.total\nFROM customers AS c\nJOIN orders AS o ON o.customer_id = c.id\nWHERE o.total >= 50\nORDER BY o.total DESC, c.name ASC;\n", "schema.sql": "\nCREATE TABLE customers (id INTEGER, name TEXT);\nCREATE TABLE orders (id INTEGER, customer_id INTEGER, total INTEGER);\nINSERT INTO customers VALUES (1, 'Ada'), (2, 'Ben'), (3, 'Cyd');\nINSERT INTO orders VALUES (10, 1, 40), (11, 1, 80), (12, 2, 50), (13, 3, 10);\n"}}, "topic": "sql"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-inner-join-orders-a116b3ab1c8a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.675, "tests": 0.0, "total": 4.6000000000000005}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "inner_join_orders"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "customers(id, name), orders(id, customer_id, total). Return customer name and order total for orders with total >= 50, ordered by total descending.\n\nSchema and seed data:\nCREATE TABLE customers (id INTEGER, name TEXT);\nCREATE TABLE orders (id INTEGER, customer_id INTEGER, total INTEGER);\nINSERT INTO customers VALUES (1, 'Ada'), (2, 'Ben'), (3, 'Cyd');\nINSERT INTO orders VALUES (10, 1, 40), (11, 1, 80), (12, 2, 50), (13, 3, 10);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT c.name, o.total\nFROM customers AS c\nJOIN orders AS o ON o.customer_id = c.id\nWHERE o.total >= 50\nORDER BY o.total DESC, c.name ASC;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["Ada", 80], ["Ben", 50]], "failures": 0, "passed": true, "rows": [["Ada", 80], ["Ben", 50]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"Ada\", 80], [\"Ben\", 50]], \"expected\": [[\"Ada\", 80], [\"Ben\", 50]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT u.name, COUNT(l.user_id) AS n\nFROM users AS u\nLEFT JOIN logins AS l ON l.user_id = u.id\nGROUP BY u.id, u.name\nORDER BY u.name;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["a", 2], ["b", 0], ["c", 1]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT u.name, COUNT(l.user_id) AS n\nFROM users AS u\nLEFT JOIN logins AS l ON l.user_id = u.id\nGROUP BY u.id, u.name\nORDER BY u.name;\n", "schema.sql": "\nCREATE TABLE users (id INTEGER, name TEXT);\nCREATE TABLE logins (user_id INTEGER);\nINSERT INTO users VALUES (1, 'a'), (2, 'b'), (3, 'c');\nINSERT INTO logins VALUES (1), (1), (3);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-left-join-missing-e2d01f94b60b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.3, "tests": 0.0, "total": 4.2250000000000005}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "left_join_missing"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "users(id, name), logins(user_id). Return each user name and their login count, including users with zero logins, ordered by name.\n\nSchema and seed data:\nCREATE TABLE users (id INTEGER, name TEXT);\nCREATE TABLE logins (user_id INTEGER);\nINSERT INTO users VALUES (1, 'a'), (2, 'b'), (3, 'c');\nINSERT INTO logins VALUES (1), (1), (3);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT u.name, COUNT(l.user_id) AS n\nFROM users AS u\nLEFT JOIN logins AS l ON l.user_id = u.id\nGROUP BY u.id, u.name\nORDER BY u.name;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["a", 2], ["b", 0], ["c", 1]], "failures": 0, "passed": true, "rows": [["a", 2], ["b", 0], ["c", 1]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"a\", 2], [\"b\", 0], [\"c\", 1]], \"expected\": [[\"a\", 2], [\"b\", 0], [\"c\", 1]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT day, SUM(amount) OVER (ORDER BY day ROWS UNBOUNDED PRECEDING) AS running\nFROM events\nORDER BY day;", "assumptions": [], "concept_id": "math.functions", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [[1, 5], [2, 8], [3, 16]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT day, SUM(amount) OVER (ORDER BY day ROWS UNBOUNDED PRECEDING) AS running\nFROM events\nORDER BY day;\n", "schema.sql": "\nCREATE TABLE events (day INTEGER, amount INTEGER);\nINSERT INTO events VALUES (1, 5), (2, 3), (3, 8);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-running-sum-window-77408a782230", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.225, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.05, "tests": 0.0, "total": 3.8750000000000004}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "running_sum_window"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "events(day, amount) with one row per day. Return day and a running sum of amount ordered by day (SQLite window functions).\n\nSchema and seed data:\nCREATE TABLE events (day INTEGER, amount INTEGER);\nINSERT INTO events VALUES (1, 5), (2, 3), (3, 8);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT day, SUM(amount) OVER (ORDER BY day ROWS UNBOUNDED PRECEDING) AS running\nFROM events\nORDER BY day;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [[1, 5], [2, 8], [3, 16]], "failures": 0, "passed": true, "rows": [[1, 5], [2, 8], [3, 16]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[1, 5], [2, 8], [3, 16]], \"expected\": [[1, 5], [2, 8], [3, 16]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "WITH ranked AS (\n SELECT course, student, score,\n ROW_NUMBER() OVER (PARTITION BY course ORDER BY score DESC, student ASC) AS rk\n FROM scores\n)\nSELECT course, student, score FROM ranked WHERE rk = 1 ORDER BY course;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["cs", "bob", 95], ["math", "ann", 90]], "language": "sql", "repository": {"files": {"query.sql": "\nWITH ranked AS (\n  SELECT course, student, score,\n         ROW_NUMBER() OVER (PARTITION BY course ORDER BY score DESC, student ASC) AS rk\n  FROM scores\n)\nSELECT course, student, score FROM ranked WHERE rk = 1 ORDER BY course;\n", "schema.sql": "\nCREATE TABLE scores (student TEXT, course TEXT, score INTEGER);\nINSERT INTO scores VALUES\n  ('ann', 'math', 90), ('bob', 'math', 90), ('ann', 'cs', 70), ('bob', 'cs', 95);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-top-per-group-235f25b31208", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.325, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.3, "tests": 0.0, "total": 4.2250000000000005}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "top_per_group"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "scores(student, course, score). Return the student with the highest score in each course (break ties by student name ascending). Columns: course, student, score.\n\nSchema and seed data:\nCREATE TABLE scores (student TEXT, course TEXT, score INTEGER);\nINSERT INTO scores VALUES\n ('ann', 'math', 90), ('bob', 'math', 90), ('ann', 'cs', 70), ('bob', 'cs', 95);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "WITH ranked AS (\n SELECT course, student, score,\n ROW_NUMBER() OVER (PARTITION BY course ORDER BY score DESC, student ASC) AS rk\n FROM scores\n)\nSELECT course, student, score FROM ranked WHERE rk = 1 ORDER BY course;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["cs", "bob", 95], ["math", "ann", 90]], "failures": 0, "passed": true, "rows": [["cs", "bob", 95], ["math", "ann", 90]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"cs\", \"bob\", 95], [\"math\", \"ann\", 90]], \"expected\": [[\"cs\", \"bob\", 95], [\"math\", \"ann\", 90]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT p.id\nFROM parts AS p\nWHERE NOT EXISTS (SELECT 1 FROM used u WHERE u.part_id = p.id)\nORDER BY p.id;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [[1], [3]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT p.id\nFROM parts AS p\nWHERE NOT EXISTS (SELECT 1 FROM used u WHERE u.part_id = p.id)\nORDER BY p.id;\n", "schema.sql": "\nCREATE TABLE parts (id INTEGER);\nCREATE TABLE used (part_id INTEGER);\nINSERT INTO parts VALUES (1), (2), (3), (4);\nINSERT INTO used VALUES (2), (2), (4);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-anti-join-unmatched-e4c36b376415", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.3, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.0, "tests": 0.0, "total": 3.9}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "anti_join_unmatched"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "parts(id), used(part_id). Return ids of parts that were never used, ordered.\n\nSchema and seed data:\nCREATE TABLE parts (id INTEGER);\nCREATE TABLE used (part_id INTEGER);\nINSERT INTO parts VALUES (1), (2), (3), (4);\nINSERT INTO used VALUES (2), (2), (4);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT p.id\nFROM parts AS p\nWHERE NOT EXISTS (SELECT 1 FROM used u WHERE u.part_id = p.id)\nORDER BY p.id;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [[1], [3]], "failures": 0, "passed": true, "rows": [[1], [3]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[1], [3]], \"expected\": [[1], [3]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT CASE\n WHEN celsius < 10 THEN 'cold'\n WHEN celsius <= 25 THEN 'mild'\n ELSE 'hot'\n END AS bucket,\n COUNT(*) AS n\nFROM temps\nGROUP BY bucket\nORDER BY n DESC, bucket ASC;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["mild", 3], ["cold", 2], ["hot", 2]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT CASE\n         WHEN celsius < 10 THEN 'cold'\n         WHEN celsius <= 25 THEN 'mild'\n         ELSE 'hot'\n       END AS bucket,\n       COUNT(*) AS n\nFROM temps\nGROUP BY bucket\nORDER BY n DESC, bucket ASC;\n", "schema.sql": "\nCREATE TABLE temps (celsius INTEGER);\nINSERT INTO temps VALUES (0), (5), (10), (20), (25), (30), (40);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-case-buckets-8700184c1f19", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.975, "tests": 0.0, "total": 4.2}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "case_buckets"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "temps(celsius). Bucket into 'cold' (<10), 'mild' [10,25], 'hot' (>25) and return bucket, n ordered by n descending, bucket ascending.\n\nSchema and seed data:\nCREATE TABLE temps (celsius INTEGER);\nINSERT INTO temps VALUES (0), (5), (10), (20), (25), (30), (40);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT CASE\n WHEN celsius < 10 THEN 'cold'\n WHEN celsius <= 25 THEN 'mild'\n ELSE 'hot'\n END AS bucket,\n COUNT(*) AS n\nFROM temps\nGROUP BY bucket\nORDER BY n DESC, bucket ASC;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["mild", 3], ["cold", 2], ["hot", 2]], "failures": 0, "passed": true, "rows": [["mild", 3], ["cold", 2], ["hot", 2]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"mild\", 3], [\"cold\", 2], [\"hot\", 2]], \"expected\": [[\"mild\", 3], [\"cold\", 2], [\"hot\", 2]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT e.name AS employee, m.name AS manager\nFROM staff AS e\nJOIN staff AS m ON e.manager_id = m.id\nORDER BY e.name;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["lee", "root"], ["pat", "lee"], ["sam", "root"]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT e.name AS employee, m.name AS manager\nFROM staff AS e\nJOIN staff AS m ON e.manager_id = m.id\nORDER BY e.name;\n", "schema.sql": "\nCREATE TABLE staff (id INTEGER, name TEXT, manager_id INTEGER);\nINSERT INTO staff VALUES (1, 'root', NULL), (2, 'lee', 1), (3, 'sam', 1), (4, 'pat', 2);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-self-join-org-47765ade4ca6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.25, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.2, "tests": 0.0, "total": 4.05}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "self_join_org"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "staff(id, name, manager_id). Return employee name and manager name for employees who have a manager, ordered by employee name.\n\nSchema and seed data:\nCREATE TABLE staff (id INTEGER, name TEXT, manager_id INTEGER);\nINSERT INTO staff VALUES (1, 'root', NULL), (2, 'lee', 1), (3, 'sam', 1), (4, 'pat', 2);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT e.name AS employee, m.name AS manager\nFROM staff AS e\nJOIN staff AS m ON e.manager_id = m.id\nORDER BY e.name;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["lee", "root"], ["pat", "lee"], ["sam", "root"]], "failures": 0, "passed": true, "rows": [["lee", "root"], ["pat", "lee"], ["sam", "root"]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"lee\", \"root\"], [\"pat\", \"lee\"], [\"sam\", \"root\"]], \"expected\": [[\"lee\", \"root\"], [\"pat\", \"lee\"], [\"sam\", \"root\"]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT COUNT(DISTINCT user_id) AS n\nFROM sessions\nWHERE active = 1;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [[2]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT COUNT(DISTINCT user_id) AS n\nFROM sessions\nWHERE active = 1;\n", "schema.sql": "\nCREATE TABLE sessions (user_id INTEGER, active INTEGER);\nINSERT INTO sessions VALUES (1, 0), (1, 1), (2, 0), (3, 1), (3, 1);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-distinct-active-4745852c43b5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.225, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.1, "tests": 0.0, "total": 4.050000000000001}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "distinct_active"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "sessions(user_id, active INTEGER 0/1). How many distinct users have at least one active session? Return a single column n.\n\nSchema and seed data:\nCREATE TABLE sessions (user_id INTEGER, active INTEGER);\nINSERT INTO sessions VALUES (1, 0), (1, 1), (2, 0), (3, 1), (3, 1);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT COUNT(DISTINCT user_id) AS n\nFROM sessions\nWHERE active = 1;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [[2]], "failures": 0, "passed": true, "rows": [[2]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[2]], \"expected\": [[2]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT name, CAST(julianday(ts) - julianday('2026-01-01') AS INTEGER) AS days\nFROM events\nORDER BY name;", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["a", 10], ["b", 0]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT name, CAST(julianday(ts) - julianday('2026-01-01') AS INTEGER) AS days\nFROM events\nORDER BY name;\n", "schema.sql": "\nCREATE TABLE events (name TEXT, ts TEXT);\nINSERT INTO events VALUES ('a', '2026-01-11'), ('b', '2026-01-01');\n"}}, "topic": "sql"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-date-diff-sqlite-6279827b2ceb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.225, "constraints": 1.4, "keywords": 0.0, "math_ops": 1.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.0, "tests": 0.0, "total": 5.575}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "date_diff_sqlite"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "events(name, ts TEXT as YYYY-MM-DD). Return name and days since 2026-01-01 for each event (julianday difference as integer), ordered by name.\n\nSchema and seed data:\nCREATE TABLE events (name TEXT, ts TEXT);\nINSERT INTO events VALUES ('a', '2026-01-11'), ('b', '2026-01-01');", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT name, CAST(julianday(ts) - julianday('2026-01-01') AS INTEGER) AS days\nFROM events\nORDER BY name;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["a", 10], ["b", 0]], "failures": 0, "passed": true, "rows": [["a", 10], ["b", 0]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"a\", 10], [\"b\", 0]], \"expected\": [[\"a\", 10], [\"b\", 0]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT sku, (cents * 9) / 10 AS discounted\nFROM prices\nORDER BY sku;", "assumptions": [], "concept_id": "python.functions", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["aa", 900], ["bb", 45]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT sku, (cents * 9) / 10 AS discounted\nFROM prices\nORDER BY sku;\n", "schema.sql": "\nCREATE TABLE prices (sku TEXT, cents INTEGER);\nINSERT INTO prices VALUES ('aa', 1000), ('bb', 50);\n"}}, "topic": "sql"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-update-style-select-96d89c88e259", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.225, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.0, "tests": 0.0, "total": 4.575}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "update_style_select"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "prices(sku, cents). Return sku and a discounted price: 10% off using integer arithmetic (cents * 9 / 10), ordered by sku.\n\nSchema and seed data:\nCREATE TABLE prices (sku TEXT, cents INTEGER);\nINSERT INTO prices VALUES ('aa', 1000), ('bb', 50);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT sku, (cents * 9) / 10 AS discounted\nFROM prices\nORDER BY sku;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["aa", 900], ["bb", 45]], "failures": 0, "passed": true, "rows": [["aa", 900], ["bb", 45]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"aa\", 900], [\"bb\", 45]], \"expected\": [[\"aa\", 900], [\"bb\", 45]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT product, ROUND(AVG(stars), 2) AS avg_stars\nFROM reviews\nGROUP BY product\nHAVING AVG(stars) >= 4.0\nORDER BY product;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["p", 4.5], ["r", 5.0]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT product, ROUND(AVG(stars), 2) AS avg_stars\nFROM reviews\nGROUP BY product\nHAVING AVG(stars) >= 4.0\nORDER BY product;\n", "schema.sql": "\nCREATE TABLE reviews (product TEXT, stars INTEGER);\nINSERT INTO reviews VALUES ('p', 5), ('p', 4), ('q', 3), ('q', 3), ('r', 5);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-having-avg-2a2a3e38743a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.275, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.175, "tests": 0.0, "total": 4.050000000000001}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "having_avg"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "reviews(product, stars). Return products whose average stars are at least 4.0, with avg_stars rounded to 2 decimals via ROUND, ordered by product.\n\nSchema and seed data:\nCREATE TABLE reviews (product TEXT, stars INTEGER);\nINSERT INTO reviews VALUES ('p', 5), ('p', 4), ('q', 3), ('q', 3), ('r', 5);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT product, ROUND(AVG(stars), 2) AS avg_stars\nFROM reviews\nGROUP BY product\nHAVING AVG(stars) >= 4.0\nORDER BY product;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["p", 4.5], ["r", 5.0]], "failures": 0, "passed": true, "rows": [["p", 4.5], ["r", 5.0]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"p\", 4.5], [\"r\", 5.0]], \"expected\": [[\"p\", 4.5], [\"r\", 5.0]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT DISTINCT tag\nFROM tags\nORDER BY tag;", "assumptions": [], "concept_id": "python.functions", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["x"], ["y"], ["z"]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT DISTINCT tag\nFROM tags\nORDER BY tag;\n", "schema.sql": "\nCREATE TABLE tags (item TEXT, tag TEXT);\nINSERT INTO tags VALUES ('a', 'x'), ('b', 'y'), ('c', 'x'), ('d', 'z');\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-select-distinct-a90024d251fe", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.225, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.775, "tests": 0.0, "total": 3.6}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "select_distinct"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "tags(item, tag). Return distinct tags in alphabetical order.\n\nSchema and seed data:\nCREATE TABLE tags (item TEXT, tag TEXT);\nINSERT INTO tags VALUES ('a', 'x'), ('b', 'y'), ('c', 'x'), ('d', 'z');", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT DISTINCT tag\nFROM tags\nORDER BY tag;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["x"], ["y"], ["z"]], "failures": 0, "passed": true, "rows": [["x"], ["y"], ["z"]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"x\"], [\"y\"], [\"z\"]], \"expected\": [[\"x\"], [\"y\"], [\"z\"]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT id,\n CASE\n WHEN n >= 80 THEN 'high'\n WHEN n >= 50 THEN 'mid'\n ELSE 'low'\n END AS band\nFROM scores\nORDER BY id;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [[1, "high"], [2, "mid"], [3, "low"]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT id,\n  CASE\n    WHEN n >= 80 THEN 'high'\n    WHEN n >= 50 THEN 'mid'\n    ELSE 'low'\n  END AS band\nFROM scores\nORDER BY id;\n", "schema.sql": "\nCREATE TABLE scores (id INTEGER, n INTEGER);\nINSERT INTO scores VALUES (1, 90), (2, 50), (3, 20);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-case-bucket-cdabbf22271e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.975, "tests": 0.0, "total": 3.9250000000000003}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "case_bucket"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "scores(id, n). Return id and band where n>=80 is 'high', n>=50 is 'mid', else 'low', ordered by id.\n\nSchema and seed data:\nCREATE TABLE scores (id INTEGER, n INTEGER);\nINSERT INTO scores VALUES (1, 90), (2, 50), (3, 20);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT id,\n CASE\n WHEN n >= 80 THEN 'high'\n WHEN n >= 50 THEN 'mid'\n ELSE 'low'\n END AS band\nFROM scores\nORDER BY id;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [[1, "high"], [2, "mid"], [3, "low"]], "failures": 0, "passed": true, "rows": [[1, "high"], [2, "mid"], [3, "low"]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[1, \"high\"], [2, \"mid\"], [3, \"low\"]], \"expected\": [[1, \"high\"], [2, \"mid\"], [3, \"low\"]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT e.name AS employee, m.name AS manager\nFROM staff AS e\nJOIN staff AS m ON e.manager_id = m.id\nORDER BY e.name;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["Ben", "Ada"], ["Cyd", "Ada"]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT e.name AS employee, m.name AS manager\nFROM staff AS e\nJOIN staff AS m ON e.manager_id = m.id\nORDER BY e.name;\n", "schema.sql": "\nCREATE TABLE staff (id INTEGER, name TEXT, manager_id INTEGER);\nINSERT INTO staff VALUES (1, 'Ada', NULL), (2, 'Ben', 1), (3, 'Cyd', 1);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-self-join-mgr-3ec0ec07da4c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.25, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.125, "tests": 0.0, "total": 3.975}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "self_join_mgr"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "staff(id, name, manager_id). Return employee name and manager name for employees who have a manager, ordered by employee name.\n\nSchema and seed data:\nCREATE TABLE staff (id INTEGER, name TEXT, manager_id INTEGER);\nINSERT INTO staff VALUES (1, 'Ada', NULL), (2, 'Ben', 1), (3, 'Cyd', 1);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT e.name AS employee, m.name AS manager\nFROM staff AS e\nJOIN staff AS m ON e.manager_id = m.id\nORDER BY e.name;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["Ben", "Ada"], ["Cyd", "Ada"]], "failures": 0, "passed": true, "rows": [["Ben", "Ada"], ["Cyd", "Ada"]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"Ben\", \"Ada\"], [\"Cyd\", \"Ada\"]], \"expected\": [[\"Ben\", \"Ada\"], [\"Cyd\", \"Ada\"]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT name\nFROM scores\nWHERE pts = (SELECT MAX(pts) FROM scores)\nORDER BY name;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["Ada"], ["Cyd"]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT name\nFROM scores\nWHERE pts = (SELECT MAX(pts) FROM scores)\nORDER BY name;\n", "schema.sql": "\nCREATE TABLE scores (name TEXT, pts INTEGER);\nINSERT INTO scores VALUES ('Ada', 10), ('Ben', 7), ('Cyd', 10);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-windowless-rank-proxy-1fe3878f5637", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.25, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.925, "tests": 0.0, "total": 3.7750000000000004}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "windowless_rank_proxy"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "scores(name, pts). Return names whose pts equal the maximum pts in the table, ordered by name.\n\nSchema and seed data:\nCREATE TABLE scores (name TEXT, pts INTEGER);\nINSERT INTO scores VALUES ('Ada', 10), ('Ben', 7), ('Cyd', 10);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:11Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT name\nFROM scores\nWHERE pts = (SELECT MAX(pts) FROM scores)\nORDER BY name;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["Ada"], ["Cyd"]], "failures": 0, "passed": true, "rows": [["Ada"], ["Cyd"]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"Ada\"], [\"Cyd\"]], \"expected\": [[\"Ada\"], [\"Cyd\"]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT id, COALESCE(qty, 0) AS qty\nFROM items\nORDER BY id;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [[1, 4], [2, 0], [3, 0]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT id, COALESCE(qty, 0) AS qty\nFROM items\nORDER BY id;\n", "schema.sql": "\nCREATE TABLE items (id INTEGER, qty INTEGER);\nINSERT INTO items VALUES (1, 4), (2, NULL), (3, 0);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-null-safe-coalesce-21ccacc2931c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.225, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 3.85}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "null_safe_coalesce"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "items(id, qty) where qty may be NULL. Return id and qty with NULL qty shown as 0, ordered by id.\n\nSchema and seed data:\nCREATE TABLE items (id INTEGER, qty INTEGER);\nINSERT INTO items VALUES (1, 4), (2, NULL), (3, 0);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT id, COALESCE(qty, 0) AS qty\nFROM items\nORDER BY id;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [[1, 4], [2, 0], [3, 0]], "failures": 0, "passed": true, "rows": [[1, 4], [2, 0], [3, 0]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[1, 4], [2, 0], [3, 0]], \"expected\": [[1, 4], [2, 0], [3, 0]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT e.name, m.name\nFROM emp AS e\nJOIN emp AS m ON m.id = e.mgr_id\nORDER BY e.name;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["Bea", "Ann"], ["Cal", "Ann"]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT e.name, m.name\nFROM emp AS e\nJOIN emp AS m ON m.id = e.mgr_id\nORDER BY e.name;\n", "schema.sql": "\nCREATE TABLE emp (id INTEGER, name TEXT, mgr_id INTEGER);\nINSERT INTO emp VALUES (1, 'Ann', NULL), (2, 'Bea', 1), (3, 'Cal', 1);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-self-join-mgr-a448d7d841a1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.25, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.125, "tests": 0.0, "total": 3.975}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "self_join_mgr"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "emp(id, name, mgr_id). Return employee name and manager name for employees who have a manager, ordered by employee name.\n\nSchema and seed data:\nCREATE TABLE emp (id INTEGER, name TEXT, mgr_id INTEGER);\nINSERT INTO emp VALUES (1, 'Ann', NULL), (2, 'Bea', 1), (3, 'Cal', 1);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT e.name, m.name\nFROM emp AS e\nJOIN emp AS m ON m.id = e.mgr_id\nORDER BY e.name;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["Bea", "Ann"], ["Cal", "Ann"]], "failures": 0, "passed": true, "rows": [["Bea", "Ann"], ["Cal", "Ann"]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"Bea\", \"Ann\"], [\"Cal\", \"Ann\"]], \"expected\": [[\"Bea\", \"Ann\"], [\"Cal\", \"Ann\"]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT COUNT(DISTINCT user_id) AS n FROM visits;", "assumptions": [], "concept_id": "python.functions", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [[3]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT COUNT(DISTINCT user_id) AS n FROM visits;\n", "schema.sql": "\nCREATE TABLE visits (user_id INTEGER);\nINSERT INTO visits VALUES (1), (1), (2), (3), (3);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-distinct-count-8f7002c92333", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.175, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.65, "tests": 0.0, "total": 3.425}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "distinct_count"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "visits(user_id). Return the number of distinct user_id values.\n\nSchema and seed data:\nCREATE TABLE visits (user_id INTEGER);\nINSERT INTO visits VALUES (1), (1), (2), (3), (3);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT COUNT(DISTINCT user_id) AS n FROM visits;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [[3]], "failures": 0, "passed": true, "rows": [[3]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[3]], \"expected\": [[3]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT id,\n CASE\n WHEN pts < 50 THEN 'low'\n WHEN pts < 80 THEN 'mid'\n ELSE 'high'\n END AS band\nFROM scores\nORDER BY id;", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [[1, "low"], [2, "mid"], [3, "high"]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT id,\n       CASE\n         WHEN pts < 50 THEN 'low'\n         WHEN pts < 80 THEN 'mid'\n         ELSE 'high'\n       END AS band\nFROM scores\nORDER BY id;\n", "schema.sql": "\nCREATE TABLE scores (id INTEGER, pts INTEGER);\nINSERT INTO scores VALUES (1, 40), (2, 50), (3, 90);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-case-bucket-24bc4fab4c75", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.075, "tests": 0.0, "total": 4.0249999999999995}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "case_bucket"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "scores(id, pts). Return id and a band: 'low' if pts < 50, 'mid' if pts < 80, else 'high', ordered by id.\n\nSchema and seed data:\nCREATE TABLE scores (id INTEGER, pts INTEGER);\nINSERT INTO scores VALUES (1, 40), (2, 50), (3, 90);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT id,\n CASE\n WHEN pts < 50 THEN 'low'\n WHEN pts < 80 THEN 'mid'\n ELSE 'high'\n END AS band\nFROM scores\nORDER BY id;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [[1, "low"], [2, "mid"], [3, "high"]], "failures": 0, "passed": true, "rows": [[1, "low"], [2, "mid"], [3, "high"]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[1, \"low\"], [2, \"mid\"], [3, \"high\"]], \"expected\": [[1, \"low\"], [2, \"mid\"], [3, \"high\"]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT id FROM wanted\nWHERE id NOT IN (SELECT id FROM have)\nORDER BY id;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [[1], [3]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT id FROM wanted\nWHERE id NOT IN (SELECT id FROM have)\nORDER BY id;\n", "schema.sql": "\nCREATE TABLE wanted (id INTEGER);\nCREATE TABLE have (id INTEGER);\nINSERT INTO wanted VALUES (1), (2), (3);\nINSERT INTO have VALUES (2);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-except-like-not-in-3ebbeb77c8f1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.275, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.975, "tests": 0.0, "total": 3.85}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "except_like_not_in"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "wanted(id), have(id). Return wanted ids that are not in have, ordered by id.\n\nSchema and seed data:\nCREATE TABLE wanted (id INTEGER);\nCREATE TABLE have (id INTEGER);\nINSERT INTO wanted VALUES (1), (2), (3);\nINSERT INTO have VALUES (2);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT id FROM wanted\nWHERE id NOT IN (SELECT id FROM have)\nORDER BY id;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [[1], [3]], "failures": 0, "passed": true, "rows": [[1], [3]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[1], [3]], \"expected\": [[1], [3]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT course, AVG(score) AS avg_score\nFROM grades\nGROUP BY course\nORDER BY course;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["a", 15.0], ["b", 5.0]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT course, AVG(score) AS avg_score\nFROM grades\nGROUP BY course\nORDER BY course;\n", "schema.sql": "\nCREATE TABLE grades (course TEXT, score INTEGER);\nINSERT INTO grades VALUES ('a', 10), ('a', 20), ('b', 5);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-avg-group-9930df081b40", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.25, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.85, "tests": 0.0, "total": 3.7}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "avg_group"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "grades(course, score). Return course and average score as a real, ordered by course.\n\nSchema and seed data:\nCREATE TABLE grades (course TEXT, score INTEGER);\nINSERT INTO grades VALUES ('a', 10), ('a', 20), ('b', 5);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT course, AVG(score) AS avg_score\nFROM grades\nGROUP BY course\nORDER BY course;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["a", 15.0], ["b", 5.0]], "failures": 0, "passed": true, "rows": [["a", 15.0], ["b", 5.0]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"a\", 15.0], [\"b\", 5.0]], \"expected\": [[\"a\", 15.0], [\"b\", 5.0]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT n FROM nums\nORDER BY n\nLIMIT 2 OFFSET 1;", "assumptions": [], "concept_id": "python.functions", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [[2], [4]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT n FROM nums\nORDER BY n\nLIMIT 2 OFFSET 1;\n", "schema.sql": "\nCREATE TABLE nums (n INTEGER);\nINSERT INTO nums VALUES (9), (1), (4), (2);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-limit-offset-0b2cd8cc59fa", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.225, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 3.6750000000000003}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "limit_offset"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "nums(n) sorted ascending. Return the second and third smallest n using LIMIT/OFFSET.\n\nSchema and seed data:\nCREATE TABLE nums (n INTEGER);\nINSERT INTO nums VALUES (9), (1), (4), (2);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT n FROM nums\nORDER BY n\nLIMIT 2 OFFSET 1;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [[2], [4]], "failures": 0, "passed": true, "rows": [[2], [4]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[2], [4]], \"expected\": [[2], [4]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "SELECT region\nFROM sales\nGROUP BY region\nHAVING AVG(amount) >= 10\nORDER BY region;", "assumptions": [], "concept_id": "cs.sql", "constraints": ["SQLite dialect", "Return exactly the specified columns and order"], "context": {"expected_rows": [["east"], ["north"]], "language": "sql", "repository": {"files": {"query.sql": "\nSELECT region\nFROM sales\nGROUP BY region\nHAVING AVG(amount) >= 10\nORDER BY region;\n", "schema.sql": "\nCREATE TABLE sales (region TEXT, amount INTEGER);\nINSERT INTO sales VALUES ('east', 8), ('east', 12), ('west', 4), ('west', 5), ('north', 20);\n"}}, "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-sql-having-avg-16079494c0b8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.275, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.975, "tests": 0.0, "total": 3.85}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "having_avg"}, "natural_language": "en", "observations": [], "plan": ["Read the schema", "Write a query", "Check row order and values"], "prompt": "sales(region, amount). Return regions whose average amount is at least 10, ordered by region.\n\nSchema and seed data:\nCREATE TABLE sales (region TEXT, amount INTEGER);\nINSERT INTO sales VALUES ('east', 8), ('east', 12), ('west', 4), ('west', 5), ('north', 20);", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:sqlite", "verified": true}, "runtime": null, "solution": "SELECT region\nFROM sales\nGROUP BY region\nHAVING AVG(amount) >= 10\nORDER BY region;", "strategy": ["Read the schema", "Write a query", "Check row order and values"], "task_type": "sql", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "python run.py", "compiler_version": null, "details": {"payload": {"errors": 0, "expected": [["east"], ["north"]], "failures": 0, "passed": true, "rows": [["east"], ["north"]], "tests_run": 1}}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:sqlite", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\": true, \"rows\": [[\"east\"], [\"north\"]], \"expected\": [[\"east\"], [\"north\"]], \"tests_run\": 1, \"failures\": 0, \"errors\": 0}\n", "tests_failed": null, "tests_passed": null}}
{"answer": "function sortBy(items, key) {\n return items\n .map((item, index) => ({ item, index }))\n .sort((a, b) => {\n const d = key(a.item) - key(b.item);\n return d !== 0 ? d : a.index - b.index;\n })\n .map((row) => row.item);\n}\nmodule.exports = { sortBy };", "assumptions": [], "concept_id": "cs.sorting", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function sortBy(items, key) {\n  return items\n    .map((item, index) => ({ item, index }))\n    .sort((a, b) => {\n      const d = key(a.item) - key(b.item);\n      return d !== 0 ? d : a.index - b.index;\n    })\n    .map((row) => row.item);\n}\nmodule.exports = { sortBy };\n", "test.js": "const assert = require('assert');\nconst { sortBy } = require('./solution');\nconst got = sortBy(\n  [{ n: 2, id: 'a' }, { n: 1, id: 'b' }, { n: 2, id: 'c' }],\n  (x) => x.n\n);\nassert.deepStrictEqual(got.map((x) => x.id), ['b', 'a', 'c']);\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 1, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-stable-sort-key-a41f066404b3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.5, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "stable_sort_key"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement function sortBy(items, key) that returns a new array sorted by the numeric key, stable with respect to original order.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function sortBy(items, key) {\n return items\n .map((item, index) => ({ item, index }))\n .sort((a, b) => {\n const d = key(a.item) - key(b.item);\n return d !== 0 ? d : a.index - b.index;\n })\n .map((row) => row.item);\n}\nmodule.exports = { sortBy };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":1,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "function deepFreeze(obj) {\n if (obj === null || typeof obj !== 'object') return obj;\n Object.freeze(obj);\n for (const value of Object.values(obj)) {\n deepFreeze(value);\n }\n return obj;\n}\nmodule.exports = { deepFreeze };", "assumptions": [], "concept_id": "math.functions", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function deepFreeze(obj) {\n  if (obj === null || typeof obj !== 'object') return obj;\n  Object.freeze(obj);\n  for (const value of Object.values(obj)) {\n    deepFreeze(value);\n  }\n  return obj;\n}\nmodule.exports = { deepFreeze };\n", "test.js": "const assert = require('assert');\nconst { deepFreeze } = require('./solution');\nconst o = { a: { b: 1 } };\ndeepFreeze(o);\nassert.ok(Object.isFrozen(o) && Object.isFrozen(o.a));\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 1, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-deep-freeze-guard-2778b60c0f7b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.425, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "deep_freeze_guard"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement deepFreeze(obj) that recursively Object.freeze arrays and plain objects and returns the same reference. Ignore functions.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function deepFreeze(obj) {\n if (obj === null || typeof obj !== 'object') return obj;\n Object.freeze(obj);\n for (const value of Object.values(obj)) {\n deepFreeze(value);\n }\n return obj;\n}\nmodule.exports = { deepFreeze };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":1,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "async function pool(limit, factories) {\n const results = new Array(factories.length);\n let next = 0;\n async function worker() {\n while (true) {\n const i = next++;\n if (i >= factories.length) return;\n results[i] = await factories[i]();\n }\n }\n const n = Math.min(limit, factories.length);\n await Promise.all(Array.from({ length: n }, () => worker()));\n return results;\n}\nmodule.exports = { pool };", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "async function pool(limit, factories) {\n  const results = new Array(factories.length);\n  let next = 0;\n  async function worker() {\n    while (true) {\n      const i = next++;\n      if (i >= factories.length) return;\n      results[i] = await factories[i]();\n    }\n  }\n  const n = Math.min(limit, factories.length);\n  await Promise.all(Array.from({ length: n }, () => worker()));\n  return results;\n}\nmodule.exports = { pool };\n", "test.js": "const assert = require('assert');\nconst { pool } = require('./solution');\n(async () => {\n  let current = 0;\n  let max = 0;\n  const factories = [0, 1, 2, 3, 4].map((i) => async () => {\n    current += 1;\n    max = Math.max(max, current);\n    await new Promise((r) => setTimeout(r, 20));\n    current -= 1;\n    return i * 2;\n  });\n  const got = await pool(2, factories);\n  assert.deepStrictEqual(got, [0, 2, 4, 6, 8]);\n  assert.ok(max <= 2);\n  console.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 2, failures: 0, errors: 0 }));\n})().catch((err) => {\n  console.error(err);\n  process.exit(1);\n});\n"}}, "topic": "javascript"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-promise-pool-bd250b3adc06", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.925, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 4.65}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "promise_pool"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement async function pool(limit, factories) where factories is an array of () => Promise. Run at most `limit` at once. Return results in factory order.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "async function pool(limit, factories) {\n const results = new Array(factories.length);\n let next = 0;\n async function worker() {\n while (true) {\n const i = next++;\n if (i >= factories.length) return;\n results[i] = await factories[i]();\n }\n }\n const n = Math.min(limit, factories.length);\n await Promise.all(Array.from({ length: n }, () => worker()));\n return results;\n}\nmodule.exports = { pool };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":2,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "function mergeQuery(url, params) {\n const u = new URL(url);\n for (const [k, v] of Object.entries(params)) {\n u.searchParams.set(k, v);\n }\n return u.href;\n}\nmodule.exports = { mergeQuery };", "assumptions": [], "concept_id": "python.classes", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function mergeQuery(url, params) {\n  const u = new URL(url);\n  for (const [k, v] of Object.entries(params)) {\n    u.searchParams.set(k, v);\n  }\n  return u.href;\n}\nmodule.exports = { mergeQuery };\n", "test.js": "const assert = require('assert');\nconst { mergeQuery } = require('./solution');\nconst got = mergeQuery('https://example.com/path?q=1&x=2', { x: '9', y: 'z' });\nassert.strictEqual(got, 'https://example.com/path?q=1&x=9&y=z');\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 1, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-url-query-merge-0dd7aebf3e21", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.65, "tests": 0.0, "total": 3.625}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "url_query_merge"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement mergeQuery(url, params) using the WHATWG URL class. Overlay params (object of string values) onto the existing search params and return href without changing other components.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function mergeQuery(url, params) {\n const u = new URL(url);\n for (const [k, v] of Object.entries(params)) {\n u.searchParams.set(k, v);\n }\n return u.href;\n}\nmodule.exports = { mergeQuery };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":1,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "function omit(obj, keys) {\n const skip = new Set(keys);\n const out = {};\n for (const [k, v] of Object.entries(obj)) {\n if (!skip.has(k)) out[k] = v;\n }\n return out;\n}\nmodule.exports = { omit };", "assumptions": [], "concept_id": "python.collections", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function omit(obj, keys) {\n  const skip = new Set(keys);\n  const out = {};\n  for (const [k, v] of Object.entries(obj)) {\n    if (!skip.has(k)) out[k] = v;\n  }\n  return out;\n}\nmodule.exports = { omit };\n", "test.js": "const assert = require('assert');\nconst { omit } = require('./solution');\nassert.deepStrictEqual(omit({ a: 1, b: 2, c: 3 }, ['b']), { a: 1, c: 3 });\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 1, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-ts-like-omit-e2cc32d1c47c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.375, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 3.25}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "ts_like_omit"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement omit(obj, keys) returning a shallow clone without the listed keys.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function omit(obj, keys) {\n const skip = new Set(keys);\n const out = {};\n for (const [k, v] of Object.entries(obj)) {\n if (!skip.has(k)) out[k] = v;\n }\n return out;\n}\nmodule.exports = { omit };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":1,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "function lowerBound(arr, target) {\n let lo = 0;\n let hi = arr.length;\n while (lo < hi) {\n const mid = (lo + hi) >> 1;\n if (arr[mid] < target) lo = mid + 1;\n else hi = mid;\n }\n return lo;\n}\nmodule.exports = { lowerBound };", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function lowerBound(arr, target) {\n  let lo = 0;\n  let hi = arr.length;\n  while (lo < hi) {\n    const mid = (lo + hi) >> 1;\n    if (arr[mid] < target) lo = mid + 1;\n    else hi = mid;\n  }\n  return lo;\n}\nmodule.exports = { lowerBound };\n", "test.js": "const assert = require('assert');\nconst { lowerBound } = require('./solution');\nassert.strictEqual(lowerBound([1, 3, 3, 7], 3), 1);\nassert.strictEqual(lowerBound([1, 3, 7], 8), 3);\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 2, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-binary-search-js-5f1d4d165dac", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 3.95}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "binary_search_js"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement lowerBound(arr, target) on a sorted numeric array: first index with arr[i] >= target, or arr.length.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function lowerBound(arr, target) {\n let lo = 0;\n let hi = arr.length;\n while (lo < hi) {\n const mid = (lo + hi) >> 1;\n if (arr[mid] < target) lo = mid + 1;\n else hi = mid;\n }\n return lo;\n}\nmodule.exports = { lowerBound };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":2,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "function debounce(fn, wait) {\n let timer = null;\n return function (...args) {\n const ctx = this;\n clearTimeout(timer);\n timer = setTimeout(() => fn.apply(ctx, args), wait);\n };\n}\nmodule.exports = { debounce };", "assumptions": [], "concept_id": "python.functions", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function debounce(fn, wait) {\n  let timer = null;\n  return function (...args) {\n    const ctx = this;\n    clearTimeout(timer);\n    timer = setTimeout(() => fn.apply(ctx, args), wait);\n  };\n}\nmodule.exports = { debounce };\n", "test.js": "const assert = require('assert');\nconst { debounce } = require('./solution');\n(async () => {\n  let n = 0;\n  const f = debounce(() => { n += 1; }, 30);\n  f(); f(); f();\n  await new Promise((r) => setTimeout(r, 80));\n  assert.strictEqual(n, 1);\n  console.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 1, failures: 0, errors: 0 }));\n})().catch((err) => { console.error(err); process.exit(1); });\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-event-debounce-d757869205f2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.525, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 3.575}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "event_debounce"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement debounce(fn, wait) using setTimeout. Leading calls reset the timer. Return a function that forwards this and arguments.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function debounce(fn, wait) {\n let timer = null;\n return function (...args) {\n const ctx = this;\n clearTimeout(timer);\n timer = setTimeout(() => fn.apply(ctx, args), wait);\n };\n}\nmodule.exports = { debounce };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":1,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "function parseCsvLine(line) {\n const out = [];\n let cur = '';\n let i = 0;\n let inQuotes = false;\n while (i < line.length) {\n const ch = line[i];\n if (inQuotes) {\n if (ch === '\"') {\n if (line[i + 1] === '\"') { cur += '\"'; i += 2; continue; }\n inQuotes = false; i += 1; continue;\n }\n cur += ch; i += 1; continue;\n }\n if (ch === '\"') { inQuotes = true; i += 1; continue; }\n if (ch === ',') { out.push(cur); cur = ''; i += 1; continue; }\n cur += ch; i += 1;\n }\n out.push(cur);\n return out;\n}\nmodule.exports = { parseCsvLine };", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function parseCsvLine(line) {\n  const out = [];\n  let cur = '';\n  let i = 0;\n  let inQuotes = false;\n  while (i < line.length) {\n    const ch = line[i];\n    if (inQuotes) {\n      if (ch === '\"') {\n        if (line[i + 1] === '\"') { cur += '\"'; i += 2; continue; }\n        inQuotes = false; i += 1; continue;\n      }\n      cur += ch; i += 1; continue;\n    }\n    if (ch === '\"') { inQuotes = true; i += 1; continue; }\n    if (ch === ',') { out.push(cur); cur = ''; i += 1; continue; }\n    cur += ch; i += 1;\n  }\n  out.push(cur);\n  return out;\n}\nmodule.exports = { parseCsvLine };\n", "test.js": "const assert = require('assert');\nconst { parseCsvLine } = require('./solution');\nassert.deepStrictEqual(parseCsvLine('a,\"b,c\",\"d\"\"e\"'), ['a', 'b,c', 'd\"e']);\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 1, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "intermediate", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-csv-line-77afd624cefb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.7, "constraints": 1.4, "keywords": 0.0, "math_ops": 2.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 6.3}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "csv_line"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement parseCsvLine(line) splitting on commas, supporting double-quoted fields with doubled quotes as escape. Return string[].", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function parseCsvLine(line) {\n const out = [];\n let cur = '';\n let i = 0;\n let inQuotes = false;\n while (i < line.length) {\n const ch = line[i];\n if (inQuotes) {\n if (ch === '\"') {\n if (line[i + 1] === '\"') { cur += '\"'; i += 2; continue; }\n inQuotes = false; i += 1; continue;\n }\n cur += ch; i += 1; continue;\n }\n if (ch === '\"') { inQuotes = true; i += 1; continue; }\n if (ch === ',') { out.push(cur); cur = ''; i += 1; continue; }\n cur += ch; i += 1;\n }\n out.push(cur);\n return out;\n}\nmodule.exports = { parseCsvLine };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":1,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "function uniqueStable(xs) {\n const out = [];\n const seen = new Set();\n for (const x of xs) {\n if (seen.has(x)) continue;\n seen.add(x);\n out.push(x);\n }\n return out;\n}\nmodule.exports = { uniqueStable };", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function uniqueStable(xs) {\n  const out = [];\n  const seen = new Set();\n  for (const x of xs) {\n    if (seen.has(x)) continue;\n    seen.add(x);\n    out.push(x);\n  }\n  return out;\n}\nmodule.exports = { uniqueStable };\n", "test.js": "const assert = require('assert');\nconst { uniqueStable } = require('./solution');\nassert.deepStrictEqual(uniqueStable([1, 1, 2, 1, 3]), [1, 2, 3]);\nassert.deepStrictEqual(uniqueStable([]), []);\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 2, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-unique-stable-a9787c2c1da5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.9000000000000004}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "unique_stable"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement uniqueStable(xs) returning first-seen unique values of array xs using SameValueZero (Object.is except -0/+0).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function uniqueStable(xs) {\n const out = [];\n const seen = new Set();\n for (const x of xs) {\n if (seen.has(x)) continue;\n seen.add(x);\n out.push(x);\n }\n return out;\n}\nmodule.exports = { uniqueStable };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":2,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "function deepGet(obj, path) {\n if (!path) return obj;\n const parts = path.split('.');\n let cur = obj;\n for (const p of parts) {\n if (cur == null || typeof cur !== 'object') return undefined;\n cur = cur[p];\n }\n return cur;\n}\nmodule.exports = { deepGet };", "assumptions": [], "concept_id": "python.functions", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function deepGet(obj, path) {\n  if (!path) return obj;\n  const parts = path.split('.');\n  let cur = obj;\n  for (const p of parts) {\n    if (cur == null || typeof cur !== 'object') return undefined;\n    cur = cur[p];\n  }\n  return cur;\n}\nmodule.exports = { deepGet };\n", "test.js": "const assert = require('assert');\nconst { deepGet } = require('./solution');\nassert.strictEqual(deepGet({ a: { b: 2 } }, 'a.b'), 2);\nassert.strictEqual(deepGet({ a: {} }, 'a.b'), undefined);\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 2, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-deep-get-5e2b188b9120", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.45, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 3.6750000000000003}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "deep_get"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement deepGet(obj, path) where path is 'a.b.c'. Missing keys return undefined. Only plain objects; do not walk arrays as objects beyond numeric keys if present.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:12Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function deepGet(obj, path) {\n if (!path) return obj;\n const parts = path.split('.');\n let cur = obj;\n for (const p of parts) {\n if (cur == null || typeof cur !== 'object') return undefined;\n cur = cur[p];\n }\n return cur;\n}\nmodule.exports = { deepGet };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":2,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "function chunk(xs, n) {\n if (n < 1) return [];\n const out = [];\n for (let i = 0; i < xs.length; i += n) out.push(xs.slice(i, i + n));\n return out;\n}\nmodule.exports = { chunk };", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function chunk(xs, n) {\n  if (n < 1) return [];\n  const out = [];\n  for (let i = 0; i < xs.length; i += n) out.push(xs.slice(i, i + n));\n  return out;\n}\nmodule.exports = { chunk };\n", "test.js": "const assert = require('assert');\nconst { chunk } = require('./solution');\nassert.deepStrictEqual(chunk([1, 2, 3, 4, 5], 2), [[1, 2], [3, 4], [5]]);\nassert.deepStrictEqual(chunk([], 3), []);\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 2, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-chunk-array-791fd2a3601d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 3.825}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "chunk_array"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement chunk(xs, n) splitting array xs into arrays of length n (last may be shorter).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function chunk(xs, n) {\n if (n < 1) return [];\n const out = [];\n for (let i = 0; i < xs.length; i += n) out.push(xs.slice(i, i + n));\n return out;\n}\nmodule.exports = { chunk };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":2,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "function once(fn) {\n let called = false;\n let value;\n return function (...args) {\n if (!called) {\n value = fn.apply(this, args);\n called = true;\n }\n return value;\n };\n}\nmodule.exports = { once };", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function once(fn) {\n  let called = false;\n  let value;\n  return function (...args) {\n    if (!called) {\n      value = fn.apply(this, args);\n      called = true;\n    }\n    return value;\n  };\n}\nmodule.exports = { once };\n", "test.js": "const assert = require('assert');\nconst { once } = require('./solution');\nlet n = 0;\nconst f = once(() => { n += 1; return n; });\nassert.strictEqual(f(), 1);\nassert.strictEqual(f(), 1);\nassert.strictEqual(n, 1);\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 1, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-once-fn-b8ede3730793", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.55, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.5}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "once_fn"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement once(fn) that calls fn at most once and returns the first result thereafter.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function once(fn) {\n let called = false;\n let value;\n return function (...args) {\n if (!called) {\n value = fn.apply(this, args);\n called = true;\n }\n return value;\n };\n}\nmodule.exports = { once };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 1}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":1,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 1}}
{"answer": "function parseQuery(q) {\n if (!q) return {};\n const out = {};\n for (const part of q.split('&')) {\n if (!part) continue;\n const i = part.indexOf('=');\n if (i < 0) out[part] = '';\n else out[part.slice(0, i)] = part.slice(i + 1);\n }\n return out;\n}\nmodule.exports = { parseQuery };", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function parseQuery(q) {\n  if (!q) return {};\n  const out = {};\n  for (const part of q.split('&')) {\n    if (!part) continue;\n    const i = part.indexOf('=');\n    if (i < 0) out[part] = '';\n    else out[part.slice(0, i)] = part.slice(i + 1);\n  }\n  return out;\n}\nmodule.exports = { parseQuery };\n", "test.js": "const assert = require('assert');\nconst { parseQuery } = require('./solution');\nassert.deepStrictEqual(parseQuery('a=1&b=2'), { a: '1', b: '2' });\nassert.deepStrictEqual(parseQuery(''), {});\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 2, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-query-parse-22649502ee61", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.475, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 3.7750000000000004}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "query_parse"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement parseQuery('a=1&b=2') returning {a:'1', b:'2'}. No decoding beyond split on & and first =. Empty string is {}.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function parseQuery(q) {\n if (!q) return {};\n const out = {};\n for (const part of q.split('&')) {\n if (!part) continue;\n const i = part.indexOf('=');\n if (i < 0) out[part] = '';\n else out[part.slice(0, i)] = part.slice(i + 1);\n }\n return out;\n}\nmodule.exports = { parseQuery };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":2,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "function range(a, b) {\n if (a > b) return [];\n const out = [];\n for (let i = a; i <= b; i += 1) out.push(i);\n return out;\n}\nmodule.exports = { range };", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Node.js standard library only", "CommonJS module.exports"], "context": {"language": "javascript", "repository": {"files": {"solution.js": "function range(a, b) {\n  if (a > b) return [];\n  const out = [];\n  for (let i = a; i <= b; i += 1) out.push(i);\n  return out;\n}\nmodule.exports = { range };\n", "test.js": "const assert = require('assert');\nconst { range } = require('./solution');\nassert.deepStrictEqual(range(2, 4), [2, 3, 4]);\nassert.deepStrictEqual(range(5, 4), []);\nconsole.log('OPEN_REASON_RESULT ' + JSON.stringify({ passed: true, tests_run: 2, failures: 0, errors: 0 }));\n"}}, "topic": "javascript"}, "difficulty": "beginner", "domain": "coding", "education_level": null, "evidence": null, "id": "or-coding-js-range-inclusive-87a1963239b5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"code_size": 0.35, "constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 3.625}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "slug": "range_inclusive"}, "natural_language": "en", "observations": [], "plan": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "prompt": "Implement range(a,b) returning [a, a+1, ..., b] inclusive if a<=b else [].", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sandbox:node", "verified": true}, "runtime": null, "solution": "function range(a, b) {\n if (a > b) return [];\n const out = [];\n for (let i = a; i <= b; i += 1) out.push(i);\n return out;\n}\nmodule.exports = { range };", "strategy": ["Implement the exported function", "Keep the public API", "Pass the assertions"], "task_type": "code_generation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": "node test.js", "compiler_version": null, "details": {"payload": {"errors": 0, "failures": 0, "passed": true, "tests_run": 2}, "timed_out": false}, "exit_code": null, "memory_mb": null, "method": "sandbox:subprocess:node", "passed": true, "result": "passed", "runtime_s": null, "runtime_version": null, "stderr": "", "stdout": "OPEN_REASON_RESULT {\"passed\":true,\"tests_run\":2,\"failures\":0,\"errors\":0}\n", "tests_failed": 0, "tests_passed": 2}}
{"answer": "Arrow functions close over lexical this. Method callbacks keep the instance instead of becoming undefined or the global object.", "assumptions": [], "concept_id": "javascript.closures", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "javascript"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-js-this-arrow-5cb68b3d6970", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.375}, "language": "javascript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "Why does an arrow function not get its own `this`, and when is that useful in a method callback?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "function methods get this from the call site. Nested function(){} loses it. An arrow keeps the method's this.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "concept_explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Control-flow narrowing: the compiler treats x as string in that branch.", "assumptions": [], "concept_id": "javascript.closures", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "typescript"}, "difficulty": "intermediate", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-ts-narrowing-b3304c1cb7ab", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 3.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 5.425000000000001}, "language": "typescript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "In TypeScript, why does `if (typeof x === 'string')` let you call x.toUpperCase() inside the block?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "typeof guards refine union types. Outside the block x may still be number | string.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "concept_explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Automatic storage ends at return, so the pointer dangles.", "assumptions": [], "concept_id": "python.variables", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "c"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-c-stack-vs-heap-44247b910a5f", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.35}, "language": "c", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "In C, why is returning the address of a local array undefined behavior?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use caller-owned buffers, malloc with documented free, or a static object with a clear lifetime.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "concept_explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "SQL three-valued logic: NULL = NULL is unknown, not true. Use `IS NULL`.", "assumptions": [], "concept_id": "cs.sql", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-sql-null-eq-7fb817e6166e", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.5250000000000004}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "A query `WHERE name = NULL` returns no rows even when name is null. Why, and what should you write?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Unknown filters out of WHERE. IS NULL is the null test.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Clone is correct when you need two owned values. It is a smell when a borrow or redesign would suffice and copies are large.", "assumptions": [], "concept_id": "rust.ownership", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "rust"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-rust-clone-escape-11d7b3b6db3d", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.4000000000000004}, "language": "rust", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "When is Clone a legitimate way to keep using a value after a move, and when is it a smell?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Prefer borrowing. Clone documents an extra allocation or deep copy.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "applied_exercise", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Defer runs on every return path, so the lock is released after panics and early returns.", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "go"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-go-defer-unlock-7808d9633feb", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.2}, "language": "go", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "Why is `defer mu.Unlock()` after Lock a common mutex pattern in Go?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Manual unlock on each return is easy to miss. Defer pairs with Lock at the start of the critical section.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "applied_exercise", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Equal objects can hash to different buckets, so get after put may miss.", "assumptions": [], "concept_id": "cs.data_structures", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "java"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-java-equals-hash-2246615e635e", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.475}, "language": "java", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "A Java class overrides equals but not hashCode and is used as a HashMap key. What goes wrong?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The equals/hashCode contract requires equal objects to share a hash. Override both.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The guard's destructor unlocks on every exit path, including exceptions.", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "cpp"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-cpp-raii-lock-59eb71b35de2", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.475}, "language": "cpp", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "In C++, why is std::lock_guard safer than calling mutex.lock() and unlock() by hand?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "RAII ties the lock lifetime to a stack object. Manual unlock is easy to skip.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "concept_explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "any disables checking; a number can reach toUpperCase at runtime.", "assumptions": [], "concept_id": "python.typing", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "typescript"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-ts-any-escape-54fef6fc8e16", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.325}, "language": "typescript", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "A TypeScript function parameter is typed `any` and then `.toUpperCase()` is called. Why is that a hole?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use unknown and narrow, or a precise union. any is an escape hatch.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "WHERE runs before grouping. HAVING filters after aggregation.", "assumptions": [], "concept_id": "cs.sql", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "sql"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-sql-having-vs-where-460f7f9e6b74", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.45}, "language": "sql", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "Why can't `WHERE COUNT(*) > 1` filter groups, and what clause does?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "GROUP BY then HAVING COUNT(*) > 1.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "concept_explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Nullable types are distinct; the compiler requires a null check or assertion.", "assumptions": [], "concept_id": "python.typing", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "kotlin"}, "difficulty": "intermediate", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-kotlin-null-ddd9ed2621c0", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 3.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 5.2}, "language": "kotlin", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "In Kotlin, why is `String?` not assignable to `String` without a check?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "That is the point of null safety. Use ?. or a smart cast after `if (x != null)`.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "applied_exercise", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Lazy evaluation only forces the prefix take needs.", "assumptions": [], "concept_id": "python.iterators", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "haskell"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-haskell-lazy-698404d2eefc", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.225}, "language": "haskell", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "Why can `take 5 [1..]` terminate in Haskell even though `[1..]` is infinite?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The rest of the list is not computed. A strict language would loop.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "concept_explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The shell splits on spaces and rm sees two arguments. Use `rm -- \"$file\"`.", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "shell"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-shell-quote-8a1b86b65fb4", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.7}, "language": "shell", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "A script does `rm $file` and `$file` is `a b.txt`. What happens, and how do you quote?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Word-splitting is not a filename parser. Quote expansions.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Dispose runs at the end of the block, including on exceptions.", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Original Open Reason wording. Not copied from vendor docs."], "context": {"executed": false, "language": "csharp"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": null, "id": "or-coding-lang-csharp-dispose-f73a3f1824ca", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.3000000000000003}, "language": "csharp", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verified_execution": false}, "natural_language": "en", "observations": [], "plan": ["Name the language rule", "State the consequence", "Give the repair or use"], "prompt": "Why does `using` on an IDisposable in C# resemble Python's `with`?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:13Z", "generator": "open_reason.generation.coding_languages", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coding_languages", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "language_concept_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.337, "notes": ["language concept; not sandbox-executed"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Both are RAII-style resource scopes. Prefer using over manual Dispose.", "strategy": ["Name the language rule", "State the consequence", "Give the repair or use"], "task_type": "applied_exercise", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Alex@10:00, Blair@09:00, Casey@11:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-0-alex-10-00-blair-09-00-casey-11-00-2823605aeed8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Alex forbidden=['09:00']", "Blair forbidden=['11:00']", "Casey forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Alex, Blair, Casey using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Alex cannot do ['09:00']; Blair cannot do ['11:00']; Casey is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Alex@10:00, Blair@09:00, Casey@11:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Alex@10:00, Blair@09:00, Casey@11:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Blair@09:00, Casey@10:00, Drew@11:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-1-blair-09-00-casey-10-00-drew-11-00-3ce212efe01a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Blair forbidden=['10:00']", "Casey forbidden=['13:00']", "Drew forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Blair, Casey, Drew using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Blair cannot do ['10:00']; Casey cannot do ['13:00']; Drew is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Blair@09:00, Casey@10:00, Drew@11:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Blair@09:00, Casey@10:00, Drew@11:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Casey@09:00, Drew@10:00, Eden@11:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-2-casey-09-00-drew-10-00-eden-11-00-f364fa01b5ec", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Casey forbidden=['11:00']", "Drew forbidden=['14:00']", "Eden forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Casey, Drew, Eden using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Casey cannot do ['11:00']; Drew cannot do ['14:00']; Eden is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Casey@09:00, Drew@10:00, Eden@11:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Casey@09:00, Drew@10:00, Eden@11:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Alex@09:00, Blair@10:00, Casey@11:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-3-alex-09-00-blair-10-00-casey-11-00-91c7fc8ab801", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Alex forbidden=['13:00']", "Blair forbidden=['15:00']", "Casey forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Alex, Blair, Casey using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Alex cannot do ['13:00']; Blair cannot do ['15:00']; Casey is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Alex@09:00, Blair@10:00, Casey@11:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Alex@09:00, Blair@10:00, Casey@11:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Blair@10:00, Casey@11:00, Drew@09:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-4-blair-10-00-casey-11-00-drew-09-00-b671e6b4a6bb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Blair forbidden=['09:00']", "Casey forbidden=['09:00']", "Drew forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Blair, Casey, Drew using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Blair cannot do ['09:00']; Casey cannot do ['09:00']; Drew is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Blair@10:00, Casey@11:00, Drew@09:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Blair@10:00, Casey@11:00, Drew@09:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Casey@09:00, Drew@11:00, Eden@10:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-5-casey-09-00-drew-11-00-eden-10-00-7866f7ed7239", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Casey forbidden=['10:00']", "Drew forbidden=['10:00']", "Eden forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Casey, Drew, Eden using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Casey cannot do ['10:00']; Drew cannot do ['10:00']; Eden is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Casey@09:00, Drew@11:00, Eden@10:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Casey@09:00, Drew@11:00, Eden@10:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Alex@09:00, Blair@10:00, Casey@11:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-6-alex-09-00-blair-10-00-casey-11-00-befb2256fa04", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Alex forbidden=['11:00']", "Blair forbidden=['11:00']", "Casey forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Alex, Blair, Casey using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Alex cannot do ['11:00']; Blair cannot do ['11:00']; Casey is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Alex@09:00, Blair@10:00, Casey@11:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Alex@09:00, Blair@10:00, Casey@11:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Blair@09:00, Casey@10:00, Drew@11:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-7-blair-09-00-casey-10-00-drew-11-00-64195e22796a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Blair forbidden=['13:00']", "Casey forbidden=['13:00']", "Drew forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Blair, Casey, Drew using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Blair cannot do ['13:00']; Casey cannot do ['13:00']; Drew is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Blair@09:00, Casey@10:00, Drew@11:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Blair@09:00, Casey@10:00, Drew@11:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Casey@10:00, Drew@09:00, Eden@11:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-8-casey-10-00-drew-09-00-eden-11-00-d1f785d1db1e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Casey forbidden=['09:00']", "Drew forbidden=['14:00']", "Eden forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Casey, Drew, Eden using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Casey cannot do ['09:00']; Drew cannot do ['14:00']; Eden is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Casey@10:00, Drew@09:00, Eden@11:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Casey@10:00, Drew@09:00, Eden@11:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Alex@09:00, Blair@10:00, Casey@11:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-9-alex-09-00-blair-10-00-casey-11-00-3452136948d9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Alex forbidden=['10:00']", "Blair forbidden=['15:00']", "Casey forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Alex, Blair, Casey using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Alex cannot do ['10:00']; Blair cannot do ['15:00']; Casey is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Alex@09:00, Blair@10:00, Casey@11:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Alex@09:00, Blair@10:00, Casey@11:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Blair@09:00, Casey@10:00, Drew@11:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-10-blair-09-00-casey-10-00-drew-11-00-4f8d977d3a40", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Blair forbidden=['11:00']", "Casey forbidden=['09:00']", "Drew forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Blair, Casey, Drew using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Blair cannot do ['11:00']; Casey cannot do ['09:00']; Drew is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Blair@09:00, Casey@10:00, Drew@11:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Blair@09:00, Casey@10:00, Drew@11:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Casey@09:00, Drew@11:00, Eden@10:00", "assumptions": ["Each meeting lasts one slot", "No other hidden constraints"], "concept_id": "python.variables", "constraints": ["Distinct slots", "Respect exclusions", "Use only listed slots"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-sched-11-casey-09-00-drew-11-00-eden-10-00-800ad41fc48e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 5.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Casey forbidden=['13:00']", "Drew forbidden=['10:00']", "Eden forbidden=[]"], "plan": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "prompt": "Schedule a 1-hour meeting for Casey, Drew, Eden using distinct slots from ['09:00', '10:00', '11:00', '13:00']. Constraints: Casey cannot do ['13:00']; Drew cannot do ['10:00']; Eden is free all listed slots. Give one feasible assignment as name@slot pairs sorted by name.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Treat this as assigning distinct slots under exclusion constraints. One feasible assignment is Casey@09:00, Drew@11:00, Eden@10:00.", "strategy": ["Enumerate permutations of the first four slots", "Drop assignments that hit an exclusion", "Serialize the first feasible plan"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Casey@09:00, Drew@11:00, Eden@10:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-0-4-true-domestic-0-033f4178d4c1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=0.4", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=0.4 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "parcel-dom", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-2-1-false-domestic-1-acdcff46cd67", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 5.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=2.1", "hazardous=False", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=2.1 kg, hazardous=false, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: parcel-dom.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "parcel-dom", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-3-8-true-domestic-2-06d7ccc47910", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=3.8", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=3.8 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-5-5-true-domestic-3-fd4e1bc27872", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=5.5", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=5.5 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "parcel-dom", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-7-2-false-domestic-4-ef10b726d2d3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 5.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=7.2", "hazardous=False", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=7.2 kg, hazardous=false, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: parcel-dom.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "parcel-dom", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-8-9-true-domestic-5-1418b441e5eb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=8.9", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=8.9 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-10-6-true-domestic-6-0d5218ce7a8f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=10.6", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=10.6 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-12-3-true-domestic-7-725cfe235906", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=12.3", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=12.3 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "parcel-dom", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-14-0-false-domestic-8-ab3157abc612", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 5.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=14.0", "hazardous=False", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=14.0 kg, hazardous=false, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: parcel-dom.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "parcel-dom", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "parcel-intl", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-15-7-false-international-9-f365534d4d61", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 5.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=15.7", "hazardous=False", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=15.7 kg, hazardous=false, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: parcel-intl.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "parcel-intl", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-17-4-true-domestic-10-c3f7e9bb07f7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=17.4", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=17.4 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "parcel-intl", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-19-1-false-international-11-b5216e98946b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 5.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=19.1", "hazardous=False", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=19.1 kg, hazardous=false, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: parcel-intl.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "parcel-intl", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "parcel-dom", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-20-8-false-domestic-12-070f3e639435", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 5.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=20.8", "hazardous=False", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=20.8 kg, hazardous=false, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: parcel-dom.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "parcel-dom", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-22-5-true-international-13-5e1470a2a696", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=22.5", "hazardous=True", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=22.5 kg, hazardous=true, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-24-2-true-domestic-14-1c880d8af82b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=24.2", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=24.2 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "parcel-dom", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-25-9-false-domestic-15-78fed5924e6a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 5.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=25.9", "hazardous=False", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=25.9 kg, hazardous=false, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: parcel-dom.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "parcel-dom", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "parcel-intl", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-27-6-false-international-16-221540190933", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 5.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=27.6", "hazardous=False", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=27.6 kg, hazardous=false, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: parcel-intl.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "parcel-intl", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "parcel-dom", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-29-3-false-domestic-17-3da12e0dc7fa", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 5.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=29.3", "hazardous=False", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=29.3 kg, hazardous=false, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: parcel-dom.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "parcel-dom", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "freight", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-31-0-false-domestic-18-f425dae7a87b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=31.0", "hazardous=False", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=31.0 kg, hazardous=false, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: freight.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "freight", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "freight", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-32-7-false-domestic-19-97d430250de4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=32.7", "hazardous=False", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=32.7 kg, hazardous=false, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: freight.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "freight", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "freight", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-34-4-false-international-20-b04c1c8eb01d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=34.4", "hazardous=False", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=34.4 kg, hazardous=false, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: freight.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "freight", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-36-1-true-domestic-21-5d6e63989bba", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=36.1", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=36.1 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-37-8-true-domestic-22-dde6a62b9fec", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=37.8", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=37.8 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "freight", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-39-5-false-domestic-23-d1dfd2270e59", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=39.5", "hazardous=False", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=39.5 kg, hazardous=false, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: freight.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "freight", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-41-2-true-domestic-24-d8c0849bdfd6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=41.2", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=41.2 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "freight", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-42-9-false-international-25-7d30b0916eac", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=42.9", "hazardous=False", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=42.9 kg, hazardous=false, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: freight.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "freight", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "freight", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-44-6-false-international-26-7f003bb99bcc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=44.6", "hazardous=False", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=44.6 kg, hazardous=false, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: freight.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "freight", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-46-3-true-international-27-9651c39aea9e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=46.3", "hazardous=True", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=46.3 kg, hazardous=true, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "freight", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-48-0-false-domestic-28-01d7d4d1449f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=48.0", "hazardous=False", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=48.0 kg, hazardous=false, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: freight.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "freight", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "freight", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-49-7-false-domestic-29-390929102b82", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=49.7", "hazardous=False", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=49.7 kg, hazardous=false, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: freight.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "freight", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-51-4-true-domestic-30-4d5120876c91", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=51.4", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=51.4 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-53-1-true-international-31-efa1da13fbb6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=53.1", "hazardous=True", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=53.1 kg, hazardous=true, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "freight", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-54-8-false-international-32-c9f9334d52af", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=54.8", "hazardous=False", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=54.8 kg, hazardous=false, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: freight.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "freight", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-56-5-true-international-33-2ff4ed1a1866", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=56.5", "hazardous=True", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=56.5 kg, hazardous=true, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-58-2-true-domestic-34-da5c00f0c683", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=58.2", "hazardous=True", "destination=domestic"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=58.2 kg, hazardous=true, destination=domestic.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "restricted", "assumptions": ["Mass is total including packaging"], "concept_id": "python.conditionals", "constraints": ["Rules are ordered", "Exactly one label"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cls-59-9-true-international-35-8eea6214f54e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 4.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["mass=59.9", "hazardous=True", "destination=international"], "plan": ["Check hazardous", "Check mass threshold", "Check destination"], "prompt": "Classify a shipment using these rules in order: (1) hazardous -> restricted; (2) mass > 30 kg -> freight; (3) international -> parcel-intl; else parcel-dom. The shipment is mass=59.9 kg, hazardous=true, destination=international.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching rule. Result: restricted.", "strategy": ["Check hazardous", "Check mass threshold", "Check destination"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "restricted", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Northwind; amount=530; due=2026-03-01; invoice=INV-1000", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-0-northwind-530-036089112428", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1000 from Northwind is payable by 2026-03-01 for USD 530. Mention of internal ticket T-0 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1000 from Northwind is payable by 2026-03-01 for USD 530. Mention of internal ticket T-0 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Northwind; amount=530; due=2026-03-01; invoice=INV-1000. Ticket T-0 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Northwind; amount=530; due=2026-03-01; invoice=INV-1000", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Helios; amount=394; due=2026-03-02; invoice=INV-1001", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-1-helios-394-04a506279eda", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1001 from Helios is payable by 2026-03-02 for USD 394. Mention of internal ticket T-1 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1001 from Helios is payable by 2026-03-02 for USD 394. Mention of internal ticket T-1 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Helios; amount=394; due=2026-03-02; invoice=INV-1001. Ticket T-1 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Helios; amount=394; due=2026-03-02; invoice=INV-1001", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Kite Labs; amount=187; due=2026-03-03; invoice=INV-1002", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-2-kite-labs-187-d90882e90bb5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.925, "tests": 0.0, "total": 5.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1002 from Kite Labs is payable by 2026-03-03 for USD 187. Mention of internal ticket T-2 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1002 from Kite Labs is payable by 2026-03-03 for USD 187. Mention of internal ticket T-2 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Kite Labs; amount=187; due=2026-03-03; invoice=INV-1002. Ticket T-2 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Kite Labs; amount=187; due=2026-03-03; invoice=INV-1002", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Pylon; amount=336; due=2026-03-04; invoice=INV-1003", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-3-pylon-336-3efd10bc955a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1003 from Pylon is payable by 2026-03-04 for USD 336. Mention of internal ticket T-3 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1003 from Pylon is payable by 2026-03-04 for USD 336. Mention of internal ticket T-3 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Pylon; amount=336; due=2026-03-04; invoice=INV-1003. Ticket T-3 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Pylon; amount=336; due=2026-03-04; invoice=INV-1003", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Northwind; amount=700; due=2026-03-05; invoice=INV-1004", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-4-northwind-700-4bfb34cbd3e4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1004 from Northwind is payable by 2026-03-05 for USD 700. Mention of internal ticket T-4 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1004 from Northwind is payable by 2026-03-05 for USD 700. Mention of internal ticket T-4 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Northwind; amount=700; due=2026-03-05; invoice=INV-1004. Ticket T-4 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Northwind; amount=700; due=2026-03-05; invoice=INV-1004", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Helios; amount=855; due=2026-03-06; invoice=INV-1005", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-5-helios-855-5803172a151a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1005 from Helios is payable by 2026-03-06 for USD 855. Mention of internal ticket T-5 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1005 from Helios is payable by 2026-03-06 for USD 855. Mention of internal ticket T-5 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Helios; amount=855; due=2026-03-06; invoice=INV-1005. Ticket T-5 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Helios; amount=855; due=2026-03-06; invoice=INV-1005", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Kite Labs; amount=442; due=2026-03-07; invoice=INV-1006", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-6-kite-labs-442-083cb0876cee", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.925, "tests": 0.0, "total": 5.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1006 from Kite Labs is payable by 2026-03-07 for USD 442. Mention of internal ticket T-6 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1006 from Kite Labs is payable by 2026-03-07 for USD 442. Mention of internal ticket T-6 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Kite Labs; amount=442; due=2026-03-07; invoice=INV-1006. Ticket T-6 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Kite Labs; amount=442; due=2026-03-07; invoice=INV-1006", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Pylon; amount=337; due=2026-03-08; invoice=INV-1007", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-7-pylon-337-e9c807c90a54", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1007 from Pylon is payable by 2026-03-08 for USD 337. Mention of internal ticket T-7 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1007 from Pylon is payable by 2026-03-08 for USD 337. Mention of internal ticket T-7 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Pylon; amount=337; due=2026-03-08; invoice=INV-1007. Ticket T-7 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Pylon; amount=337; due=2026-03-08; invoice=INV-1007", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Northwind; amount=791; due=2026-03-09; invoice=INV-1008", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-8-northwind-791-3d152690e2dc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1008 from Northwind is payable by 2026-03-09 for USD 791. Mention of internal ticket T-8 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1008 from Northwind is payable by 2026-03-09 for USD 791. Mention of internal ticket T-8 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Northwind; amount=791; due=2026-03-09; invoice=INV-1008. Ticket T-8 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Northwind; amount=791; due=2026-03-09; invoice=INV-1008", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Helios; amount=631; due=2026-03-10; invoice=INV-1009", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-9-helios-631-57505fe17284", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1009 from Helios is payable by 2026-03-10 for USD 631. Mention of internal ticket T-9 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1009 from Helios is payable by 2026-03-10 for USD 631. Mention of internal ticket T-9 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Helios; amount=631; due=2026-03-10; invoice=INV-1009. Ticket T-9 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Helios; amount=631; due=2026-03-10; invoice=INV-1009", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Kite Labs; amount=525; due=2026-03-11; invoice=INV-1010", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-10-kite-labs-525-b0a178c55e6d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.925, "tests": 0.0, "total": 5.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1010 from Kite Labs is payable by 2026-03-11 for USD 525. Mention of internal ticket T-10 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1010 from Kite Labs is payable by 2026-03-11 for USD 525. Mention of internal ticket T-10 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Kite Labs; amount=525; due=2026-03-11; invoice=INV-1010. Ticket T-10 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Kite Labs; amount=525; due=2026-03-11; invoice=INV-1010", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Pylon; amount=778; due=2026-03-12; invoice=INV-1011", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-11-pylon-778-8e6c834d5cb7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1011 from Pylon is payable by 2026-03-12 for USD 778. Mention of internal ticket T-11 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1011 from Pylon is payable by 2026-03-12 for USD 778. Mention of internal ticket T-11 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Pylon; amount=778; due=2026-03-12; invoice=INV-1011. Ticket T-11 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Pylon; amount=778; due=2026-03-12; invoice=INV-1011", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Northwind; amount=589; due=2026-03-13; invoice=INV-1012", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-12-northwind-589-1ab00a519d38", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1012 from Northwind is payable by 2026-03-13 for USD 589. Mention of internal ticket T-12 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1012 from Northwind is payable by 2026-03-13 for USD 589. Mention of internal ticket T-12 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Northwind; amount=589; due=2026-03-13; invoice=INV-1012. Ticket T-12 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Northwind; amount=589; due=2026-03-13; invoice=INV-1012", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Helios; amount=266; due=2026-03-14; invoice=INV-1013", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-13-helios-266-77d878f81ede", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1013 from Helios is payable by 2026-03-14 for USD 266. Mention of internal ticket T-13 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1013 from Helios is payable by 2026-03-14 for USD 266. Mention of internal ticket T-13 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Helios; amount=266; due=2026-03-14; invoice=INV-1013. Ticket T-13 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Helios; amount=266; due=2026-03-14; invoice=INV-1013", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Kite Labs; amount=391; due=2026-03-15; invoice=INV-1014", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-14-kite-labs-391-24e336603921", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.925, "tests": 0.0, "total": 5.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1014 from Kite Labs is payable by 2026-03-15 for USD 391. Mention of internal ticket T-14 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1014 from Kite Labs is payable by 2026-03-15 for USD 391. Mention of internal ticket T-14 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Kite Labs; amount=391; due=2026-03-15; invoice=INV-1014. Ticket T-14 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Kite Labs; amount=391; due=2026-03-15; invoice=INV-1014", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Pylon; amount=262; due=2026-03-16; invoice=INV-1015", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-15-pylon-262-3e82076bf454", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1015 from Pylon is payable by 2026-03-16 for USD 262. Mention of internal ticket T-15 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1015 from Pylon is payable by 2026-03-16 for USD 262. Mention of internal ticket T-15 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Pylon; amount=262; due=2026-03-16; invoice=INV-1015. Ticket T-15 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Pylon; amount=262; due=2026-03-16; invoice=INV-1015", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Northwind; amount=372; due=2026-03-17; invoice=INV-1016", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-16-northwind-372-b8f0c4aba0fc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1016 from Northwind is payable by 2026-03-17 for USD 372. Mention of internal ticket T-16 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1016 from Northwind is payable by 2026-03-17 for USD 372. Mention of internal ticket T-16 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Northwind; amount=372; due=2026-03-17; invoice=INV-1016. Ticket T-16 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Northwind; amount=372; due=2026-03-17; invoice=INV-1016", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Helios; amount=882; due=2026-03-18; invoice=INV-1017", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-17-helios-882-6dcc93aa45a6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1017 from Helios is payable by 2026-03-18 for USD 882. Mention of internal ticket T-17 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1017 from Helios is payable by 2026-03-18 for USD 882. Mention of internal ticket T-17 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Helios; amount=882; due=2026-03-18; invoice=INV-1017. Ticket T-17 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Helios; amount=882; due=2026-03-18; invoice=INV-1017", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Kite Labs; amount=694; due=2026-03-19; invoice=INV-1018", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-18-kite-labs-694-28a0241c1177", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.925, "tests": 0.0, "total": 5.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1018 from Kite Labs is payable by 2026-03-19 for USD 694. Mention of internal ticket T-18 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1018 from Kite Labs is payable by 2026-03-19 for USD 694. Mention of internal ticket T-18 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Kite Labs; amount=694; due=2026-03-19; invoice=INV-1018. Ticket T-18 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Kite Labs; amount=694; due=2026-03-19; invoice=INV-1018", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Pylon; amount=671; due=2026-03-20; invoice=INV-1019", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-19-pylon-671-1df288e6554e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1019 from Pylon is payable by 2026-03-20 for USD 671. Mention of internal ticket T-19 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1019 from Pylon is payable by 2026-03-20 for USD 671. Mention of internal ticket T-19 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Pylon; amount=671; due=2026-03-20; invoice=INV-1019. Ticket T-19 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Pylon; amount=671; due=2026-03-20; invoice=INV-1019", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Northwind; amount=389; due=2026-03-21; invoice=INV-1020", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-20-northwind-389-d496b4d54432", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1020 from Northwind is payable by 2026-03-21 for USD 389. Mention of internal ticket T-20 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1020 from Northwind is payable by 2026-03-21 for USD 389. Mention of internal ticket T-20 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Northwind; amount=389; due=2026-03-21; invoice=INV-1020. Ticket T-20 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Northwind; amount=389; due=2026-03-21; invoice=INV-1020", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Helios; amount=884; due=2026-03-22; invoice=INV-1021", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-21-helios-884-cbe9542ea9b7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1021 from Helios is payable by 2026-03-22 for USD 884. Mention of internal ticket T-21 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1021 from Helios is payable by 2026-03-22 for USD 884. Mention of internal ticket T-21 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Helios; amount=884; due=2026-03-22; invoice=INV-1021. Ticket T-21 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Helios; amount=884; due=2026-03-22; invoice=INV-1021", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Kite Labs; amount=718; due=2026-03-23; invoice=INV-1022", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-22-kite-labs-718-14635bbeaa1a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.925, "tests": 0.0, "total": 5.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1022 from Kite Labs is payable by 2026-03-23 for USD 718. Mention of internal ticket T-22 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1022 from Kite Labs is payable by 2026-03-23 for USD 718. Mention of internal ticket T-22 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Kite Labs; amount=718; due=2026-03-23; invoice=INV-1022. Ticket T-22 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Kite Labs; amount=718; due=2026-03-23; invoice=INV-1022", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Pylon; amount=558; due=2026-03-24; invoice=INV-1023", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-23-pylon-558-3cfb204da7e3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1023 from Pylon is payable by 2026-03-24 for USD 558. Mention of internal ticket T-23 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1023 from Pylon is payable by 2026-03-24 for USD 558. Mention of internal ticket T-23 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Pylon; amount=558; due=2026-03-24; invoice=INV-1023. Ticket T-23 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Pylon; amount=558; due=2026-03-24; invoice=INV-1023", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Northwind; amount=717; due=2026-03-25; invoice=INV-1024", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-24-northwind-717-b14a61290815", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1024 from Northwind is payable by 2026-03-25 for USD 717. Mention of internal ticket T-24 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1024 from Northwind is payable by 2026-03-25 for USD 717. Mention of internal ticket T-24 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Northwind; amount=717; due=2026-03-25; invoice=INV-1024. Ticket T-24 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Northwind; amount=717; due=2026-03-25; invoice=INV-1024", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Helios; amount=528; due=2026-03-26; invoice=INV-1025", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-25-helios-528-14c2e0968541", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1025 from Helios is payable by 2026-03-26 for USD 528. Mention of internal ticket T-25 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1025 from Helios is payable by 2026-03-26 for USD 528. Mention of internal ticket T-25 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Helios; amount=528; due=2026-03-26; invoice=INV-1025. Ticket T-25 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Helios; amount=528; due=2026-03-26; invoice=INV-1025", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Kite Labs; amount=490; due=2026-03-27; invoice=INV-1026", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-26-kite-labs-490-c6e15c009f95", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.925, "tests": 0.0, "total": 5.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1026 from Kite Labs is payable by 2026-03-27 for USD 490. Mention of internal ticket T-26 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1026 from Kite Labs is payable by 2026-03-27 for USD 490. Mention of internal ticket T-26 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Kite Labs; amount=490; due=2026-03-27; invoice=INV-1026. Ticket T-26 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Kite Labs; amount=490; due=2026-03-27; invoice=INV-1026", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "vendor=Pylon; amount=344; due=2026-03-28; invoice=INV-1027", "assumptions": ["USD amounts have no cents in this corpus"], "concept_id": "python.loops", "constraints": ["Ignore non-financial identifiers", "Amount is an integer"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ex-27-pylon-344-8163cf38bd10", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.3, "plan": 1.6, "prompt_length": 0.9, "tests": 0.0, "total": 5.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Invoice INV-1027 from Pylon is payable by 2026-03-28 for USD 344. Mention of internal ticket T-27 is not financial."], "plan": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "prompt": "Extract vendor, integer USD amount, due date (ISO), and invoice id from the note. Ignore ticket ids.\n\nInvoice INV-1027 from Pylon is payable by 2026-03-28 for USD 344. Mention of internal ticket T-27 is not financial.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The financial fields are vendor=Pylon; amount=344; due=2026-03-28; invoice=INV-1027. Ticket T-27 is excluded.", "strategy": ["Locate invoice id", "Read vendor", "Read amount", "Read due date"], "task_type": "information_extraction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "vendor=Pylon; amount=344; due=2026-03-28; invoice=INV-1027", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "B", "assumptions": ["Higher score is better"], "concept_id": null, "constraints": ["Use the stated linear score", "No qualitative override"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cmp-0-b-57-105-cc2c82e1dcbc", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.6, "plan": 0.8, "prompt_length": 0.675, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=57,78,99.5", "B=105,26,99.5"], "plan": ["Compute both scores", "Compare"], "prompt": "Choose hosting plan A or B by the score -cost - latency_ms + 10*(slo-99). A: cost=57, latency=78ms, slo=99.5. B: cost=105, latency=26ms, slo=99.5. Answer A, B, or TIE.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "score(A)=-130.00, score(B)=-126.00. Winner=B.", "strategy": ["Compute both scores", "Compare"], "task_type": "comparison", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "B", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "A", "assumptions": ["Higher score is better"], "concept_id": null, "constraints": ["Use the stated linear score", "No qualitative override"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cmp-1-a-59-120-7c939d5ed90f", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.6, "plan": 0.8, "prompt_length": 0.675, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=59,35,99.9", "B=120,102,99.5"], "plan": ["Compute both scores", "Compare"], "prompt": "Choose hosting plan A or B by the score -cost - latency_ms + 10*(slo-99). A: cost=59, latency=35ms, slo=99.9. B: cost=120, latency=102ms, slo=99.5. Answer A, B, or TIE.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "score(A)=-85.00, score(B)=-217.00. Winner=A.", "strategy": ["Compute both scores", "Compare"], "task_type": "comparison", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "A", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "B", "assumptions": ["Higher score is better"], "concept_id": null, "constraints": ["Use the stated linear score", "No qualitative override"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cmp-2-b-89-88-fb1ee831d052", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.6, "plan": 0.8, "prompt_length": 0.675, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=89,91,99.9", "B=88,74,99.5"], "plan": ["Compute both scores", "Compare"], "prompt": "Choose hosting plan A or B by the score -cost - latency_ms + 10*(slo-99). A: cost=89, latency=91ms, slo=99.9. B: cost=88, latency=74ms, slo=99.5. Answer A, B, or TIE.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "score(A)=-171.00, score(B)=-157.00. Winner=B.", "strategy": ["Compute both scores", "Compare"], "task_type": "comparison", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "B", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "A", "assumptions": ["Higher score is better"], "concept_id": null, "constraints": ["Use the stated linear score", "No qualitative override"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cmp-3-a-54-108-feba57d89336", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.6, "plan": 0.8, "prompt_length": 0.675, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=54,49,99.9", "B=108,97,99.5"], "plan": ["Compute both scores", "Compare"], "prompt": "Choose hosting plan A or B by the score -cost - latency_ms + 10*(slo-99). A: cost=54, latency=49ms, slo=99.9. B: cost=108, latency=97ms, slo=99.5. Answer A, B, or TIE.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "score(A)=-94.00, score(B)=-200.00. Winner=A.", "strategy": ["Compute both scores", "Compare"], "task_type": "comparison", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "A", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "A", "assumptions": ["Higher score is better"], "concept_id": null, "constraints": ["Use the stated linear score", "No qualitative override"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cmp-4-a-77-95-6a05f606dbe9", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.6, "plan": 0.8, "prompt_length": 0.675, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=77,35,99.5", "B=95,73,99.9"], "plan": ["Compute both scores", "Compare"], "prompt": "Choose hosting plan A or B by the score -cost - latency_ms + 10*(slo-99). A: cost=77, latency=35ms, slo=99.5. B: cost=95, latency=73ms, slo=99.9. Answer A, B, or TIE.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "score(A)=-107.00, score(B)=-159.00. Winner=A.", "strategy": ["Compute both scores", "Compare"], "task_type": "comparison", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "A", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "B", "assumptions": ["Higher score is better"], "concept_id": null, "constraints": ["Use the stated linear score", "No qualitative override"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cmp-5-b-104-62-c2cdec36f9d5", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.6, "plan": 0.8, "prompt_length": 0.675, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=104,79,99.9", "B=62,28,99.5"], "plan": ["Compute both scores", "Compare"], "prompt": "Choose hosting plan A or B by the score -cost - latency_ms + 10*(slo-99). A: cost=104, latency=79ms, slo=99.9. B: cost=62, latency=28ms, slo=99.5. Answer A, B, or TIE.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "score(A)=-174.00, score(B)=-85.00. Winner=B.", "strategy": ["Compute both scores", "Compare"], "task_type": "comparison", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "B", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "A", "assumptions": ["Higher score is better"], "concept_id": null, "constraints": ["Use the stated linear score", "No qualitative override"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cmp-6-a-59-87-fa9c069b18cd", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.6, "plan": 0.8, "prompt_length": 0.675, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=59,35,99.5", "B=87,84,99.9"], "plan": ["Compute both scores", "Compare"], "prompt": "Choose hosting plan A or B by the score -cost - latency_ms + 10*(slo-99). A: cost=59, latency=35ms, slo=99.5. B: cost=87, latency=84ms, slo=99.9. Answer A, B, or TIE.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "score(A)=-89.00, score(B)=-162.00. Winner=A.", "strategy": ["Compute both scores", "Compare"], "task_type": "comparison", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "A", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "B", "assumptions": ["Higher score is better"], "concept_id": null, "constraints": ["Use the stated linear score", "No qualitative override"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cmp-8-b-47-70-c9be9eaf022c", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.6, "plan": 0.8, "prompt_length": 0.675, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=47,87,99.5", "B=70,25,99.9"], "plan": ["Compute both scores", "Compare"], "prompt": "Choose hosting plan A or B by the score -cost - latency_ms + 10*(slo-99). A: cost=47, latency=87ms, slo=99.5. B: cost=70, latency=25ms, slo=99.9. Answer A, B, or TIE.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "score(A)=-129.00, score(B)=-86.00. Winner=B.", "strategy": ["Compute both scores", "Compare"], "task_type": "comparison", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "B", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "false", "assumptions": ["No other causes of slippery"], "concept_id": "python.conditionals", "constraints": ["Use only the given graph", "Deterministic mechanisms"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-causal-0-false-false-5789a22e99ad", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.525, "tests": 0.0, "total": 3.3249999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["rain=False", "sprinkler=False"], "plan": ["Compute wet", "Compute slippery"], "prompt": "Causal graph: rain→wet, sprinkler→wet, wet→slippery. Deterministic OR for wet, and slippery iff wet. Observed rain=False, sprinkler=False. Is slippery true or false?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "wet = rain OR sprinkler = False; slippery = wet = False.", "strategy": ["Compute wet", "Compute slippery"], "task_type": "causal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "false", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "true", "assumptions": ["No other causes of slippery"], "concept_id": "python.conditionals", "constraints": ["Use only the given graph", "Deterministic mechanisms"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-causal-1-false-true-f1e530235810", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.525, "tests": 0.0, "total": 3.3249999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["rain=False", "sprinkler=True"], "plan": ["Compute wet", "Compute slippery"], "prompt": "Causal graph: rain→wet, sprinkler→wet, wet→slippery. Deterministic OR for wet, and slippery iff wet. Observed rain=False, sprinkler=True. Is slippery true or false?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "wet = rain OR sprinkler = True; slippery = wet = True.", "strategy": ["Compute wet", "Compute slippery"], "task_type": "causal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "true", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spec frozen > implementation start > code complete > release", "assumptions": ["Gregorian calendar"], "concept_id": "python.functions", "constraints": ["Unique dates", "Earliest first"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-time-0-spec-frozen-implementation-start-code-complete-release-a62f37ad9320", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.9, "tests": 0.0, "total": 4.925000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["implementation start on 2026-01-08; code complete on 2026-01-15; release on 2026-01-19; spec frozen on 2026-01-05"], "plan": ["Parse dates", "Sort", "Join names"], "prompt": "Order these events from earliest to latest (tie-break by name not needed; dates unique). implementation start on 2026-01-08; code complete on 2026-01-15; release on 2026-01-19; spec frozen on 2026-01-05. Return names separated by ' > '.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Sort by date: spec frozen > implementation start > code complete > release.", "strategy": ["Parse dates", "Sort", "Join names"], "task_type": "temporal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "spec frozen > implementation start > code complete > release", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "spec frozen > implementation start > code complete > release", "assumptions": ["Gregorian calendar"], "concept_id": "python.functions", "constraints": ["Unique dates", "Earliest first"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-time-2-spec-frozen-implementation-start-code-complete-release-0b1fa943cae2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.9, "tests": 0.0, "total": 4.925000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["implementation start on 2026-01-10; code complete on 2026-01-17; spec frozen on 2026-01-07; release on 2026-01-21"], "plan": ["Parse dates", "Sort", "Join names"], "prompt": "Order these events from earliest to latest (tie-break by name not needed; dates unique). implementation start on 2026-01-10; code complete on 2026-01-17; spec frozen on 2026-01-07; release on 2026-01-21. Return names separated by ' > '.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Sort by date: spec frozen > implementation start > code complete > release.", "strategy": ["Parse dates", "Sort", "Join names"], "task_type": "temporal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "spec frozen > implementation start > code complete > release", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spec frozen > implementation start > code complete > release", "assumptions": ["Gregorian calendar"], "concept_id": "python.functions", "constraints": ["Unique dates", "Earliest first"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-time-3-spec-frozen-implementation-start-code-complete-release-f245540f9f80", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.9, "tests": 0.0, "total": 4.925000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["release on 2026-01-22; spec frozen on 2026-01-08; implementation start on 2026-01-11; code complete on 2026-01-18"], "plan": ["Parse dates", "Sort", "Join names"], "prompt": "Order these events from earliest to latest (tie-break by name not needed; dates unique). release on 2026-01-22; spec frozen on 2026-01-08; implementation start on 2026-01-11; code complete on 2026-01-18. Return names separated by ' > '.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Sort by date: spec frozen > implementation start > code complete > release.", "strategy": ["Parse dates", "Sort", "Join names"], "task_type": "temporal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "spec frozen > implementation start > code complete > release", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "A=red, B=green, C=red", "assumptions": ["No other edges"], "concept_id": "python.conditionals", "constraints": ["Adjacent nodes different colours", "Only the three named colours"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-csp-0-a-red-b-green-c-red-7e1a90e5270d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.425000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Graph is a path A—B—C", "A is fixed to red"], "plan": ["Fix A", "Choose B ≠ A", "Choose C ≠ B"], "prompt": "Color nodes A-B-C (edges A-B and B-C) with {red, green, blue} so adjacent nodes differ. One valid colouring starts with A=red. Give A,B,C colours.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "A path of length 2 is 2-colourable along the path. A=red, B=green, C=red is valid.", "strategy": ["Fix A", "Choose B ≠ A", "Choose C ≠ B"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "A=red, B=green, C=red", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "A=red, B=green, C=blue", "assumptions": ["No other edges"], "concept_id": "python.conditionals", "constraints": ["Adjacent nodes different colours", "Only the three named colours"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-csp-3-a-red-b-green-c-blue-7c2f51e9dbd1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.425000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Graph is a path A—B—C", "A is fixed to red"], "plan": ["Fix A", "Choose B ≠ A", "Choose C ≠ B"], "prompt": "Color nodes A-B-C (edges A-B and B-C) with {red, green, blue} so adjacent nodes differ. One valid colouring starts with A=red. Give A,B,C colours.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "A path of length 2 is 2-colourable along the path. A=red, B=green, C=blue is valid.", "strategy": ["Fix A", "Choose B ≠ A", "Choose C ≠ B"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "A=red, B=green, C=blue", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "A=green, B=blue, C=red", "assumptions": ["No other edges"], "concept_id": "python.conditionals", "constraints": ["Adjacent nodes different colours", "Only the three named colours"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-csp-4-a-green-b-blue-c-red-2abe7fafd2ac", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.425000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Graph is a path A—B—C", "A is fixed to green"], "plan": ["Fix A", "Choose B ≠ A", "Choose C ≠ B"], "prompt": "Color nodes A-B-C (edges A-B and B-C) with {red, green, blue} so adjacent nodes differ. One valid colouring starts with A=green. Give A,B,C colours.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "A path of length 2 is 2-colourable along the path. A=green, B=blue, C=red is valid.", "strategy": ["Fix A", "Choose B ≠ A", "Choose C ≠ B"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "A=green, B=blue, C=red", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "skip", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-0-skip-800-c17f58cb13e1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.1", "loss=1000", "cost=800"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 800 and prevents a failure that occurs with probability 0.1 and loss 1000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.1×1000 = 100.0. Buy iff 100.0 > 800: skip.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "skip", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-1-buy-100-82fe3c4126b1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.01", "loss=20000", "cost=100"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 100 and prevents a failure that occurs with probability 0.01 and loss 20000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.01×20000 = 200.0. Buy iff 200.0 > 100: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-2-buy-50-7cbe8205f6e0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.1", "loss=5000", "cost=50"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 50 and prevents a failure that occurs with probability 0.1 and loss 5000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.1×5000 = 500.0. Buy iff 500.0 > 50: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-3-buy-400-1dfa5bb3bc3b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.1", "loss=20000", "cost=400"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 400 and prevents a failure that occurs with probability 0.1 and loss 20000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.1×20000 = 2000.0. Buy iff 2000.0 > 400: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "skip", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-4-skip-400-ed3cfcf8e7f0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.01", "loss=20000", "cost=400"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 400 and prevents a failure that occurs with probability 0.01 and loss 20000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.01×20000 = 200.0. Buy iff 200.0 > 400: skip.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "skip", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-5-buy-800-eafc2e951ce9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.1", "loss=20000", "cost=800"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 800 and prevents a failure that occurs with probability 0.1 and loss 20000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.1×20000 = 2000.0. Buy iff 2000.0 > 800: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-6-buy-400-90241ff265cd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.1", "loss=5000", "cost=400"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 400 and prevents a failure that occurs with probability 0.1 and loss 5000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.1×5000 = 500.0. Buy iff 500.0 > 400: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "skip", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-7-skip-800-f9b216b0389d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.05", "loss=1000", "cost=800"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 800 and prevents a failure that occurs with probability 0.05 and loss 1000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.05×1000 = 50.0. Buy iff 50.0 > 800: skip.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "skip", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-8-buy-100-14c3990aaf92", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.2", "loss=20000", "cost=100"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 100 and prevents a failure that occurs with probability 0.2 and loss 20000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.2×20000 = 4000.0. Buy iff 4000.0 > 100: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-10-buy-100-0e68b38f3d6c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.1", "loss=5000", "cost=100"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 100 and prevents a failure that occurs with probability 0.1 and loss 5000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.1×5000 = 500.0. Buy iff 500.0 > 100: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-11-buy-400-ac09a0bb18b0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.2", "loss=20000", "cost=400"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 400 and prevents a failure that occurs with probability 0.2 and loss 20000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.2×20000 = 4000.0. Buy iff 4000.0 > 400: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-12-buy-800-1643e70e60e2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.2", "loss=5000", "cost=800"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 800 and prevents a failure that occurs with probability 0.2 and loss 5000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.2×5000 = 1000.0. Buy iff 1000.0 > 800: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-13-buy-800-61afff468679", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.05", "loss=20000", "cost=800"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 800 and prevents a failure that occurs with probability 0.05 and loss 20000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.05×20000 = 1000.0. Buy iff 1000.0 > 800: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-14-buy-50-553427acfdb7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.05", "loss=20000", "cost=50"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 50 and prevents a failure that occurs with probability 0.05 and loss 20000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.05×20000 = 1000.0. Buy iff 1000.0 > 50: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "skip", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-16-skip-400-88ad3886481f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.01", "loss=1000", "cost=400"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 400 and prevents a failure that occurs with probability 0.01 and loss 1000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.01×1000 = 10.0. Buy iff 10.0 > 400: skip.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "skip", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "skip", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-17-skip-100-c286f5b41f08", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.05", "loss=1000", "cost=100"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 100 and prevents a failure that occurs with probability 0.05 and loss 1000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.05×1000 = 50.0. Buy iff 50.0 > 100: skip.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "skip", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "skip", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-18-skip-100-b96656b693de", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.01", "loss=1000", "cost=100"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 100 and prevents a failure that occurs with probability 0.01 and loss 1000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.01×1000 = 10.0. Buy iff 10.0 > 100: skip.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "skip", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-19-buy-50-71a4152f6b9a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.2", "loss=20000", "cost=50"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 50 and prevents a failure that occurs with probability 0.2 and loss 20000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.2×20000 = 4000.0. Buy iff 4000.0 > 50: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "buy", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-20-buy-100-e5c8476d0841", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.2", "loss=5000", "cost=100"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 100 and prevents a failure that occurs with probability 0.2 and loss 5000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.2×5000 = 1000.0. Buy iff 1000.0 > 100: buy.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "buy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "skip", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-22-skip-50-f2152fca1477", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.05", "loss=1000", "cost=50"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 50 and prevents a failure that occurs with probability 0.05 and loss 1000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.05×1000 = 50.0. Buy iff 50.0 > 50: skip.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "skip", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "skip", "assumptions": ["No residual risk after buying"], "concept_id": "math.probability", "constraints": ["Risk-neutral EMV", "Mitigation is all-or-nothing"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-dec-23-skip-100-f30cde3de47a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.9499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["p=0.01", "loss=5000", "cost=100"], "plan": ["Compute expected unmitigated loss", "Compare to cost"], "prompt": "A mitigation costs 100 and prevents a failure that occurs with probability 0.01 and loss 5000. Using expected monetary value and risk-neutrality, should you buy or skip the mitigation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "E[loss] = 0.01×5000 = 50.0. Buy iff 50.0 > 100: skip.", "strategy": ["Compute expected unmitigated loss", "Compare to cost"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "skip", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "valid", "assumptions": ["Ordinary propositional/categorical reading"], "concept_id": "python.conditionals", "constraints": ["Deductive validity, not empirical truth"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-arg-0-valid-eddd22e9428d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 0.8, "prompt_length": 0.9, "tests": 0.0, "total": 2.95}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["All firmware updates that change the bootloader require a dual-control review. Build 4412 changes the bootloader. Therefore build 4412 requires a dual-control review."], "plan": ["Identify form", "Check if the conclusion follows"], "prompt": "Classify the argument as valid or invalid (deductive). Explain briefly in the solution.\n\nAll firmware updates that change the bootloader require a dual-control review. Build 4412 changes the bootloader. Therefore build 4412 requires a dual-control review.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Categorical syllogism: all M are P; a is M; therefore a is P.", "strategy": ["Identify form", "Check if the conclusion follows"], "task_type": "argument_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "valid", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "invalid", "assumptions": ["Ordinary propositional/categorical reading"], "concept_id": "python.conditionals", "constraints": ["Deductive validity, not empirical truth"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-arg-1-invalid-dc6ac2d4df65", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.775, "tests": 0.0, "total": 2.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["If the cache is cold, latency exceeds 200 ms. Latency exceeded 200 ms. Therefore the cache is cold."], "plan": ["Identify form", "Check if the conclusion follows"], "prompt": "Classify the argument as valid or invalid (deductive). Explain briefly in the solution.\n\nIf the cache is cold, latency exceeds 200 ms. Latency exceeded 200 ms. Therefore the cache is cold.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Affirming the consequent: Q does not imply P.", "strategy": ["Identify form", "Check if the conclusion follows"], "task_type": "argument_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "invalid", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "valid", "assumptions": ["Ordinary propositional/categorical reading"], "concept_id": "python.conditionals", "constraints": ["Deductive validity, not empirical truth"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-arg-2-valid-3283d719583c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.775, "tests": 0.0, "total": 2.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Either the replica is lagged or the client retried. The replica is not lagged. Therefore the client retried."], "plan": ["Identify form", "Check if the conclusion follows"], "prompt": "Classify the argument as valid or invalid (deductive). Explain briefly in the solution.\n\nEither the replica is lagged or the client retried. The replica is not lagged. Therefore the client retried.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Disjunctive syllogism.", "strategy": ["Identify form", "Check if the conclusion follows"], "task_type": "argument_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "valid", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "invalid", "assumptions": ["Ordinary propositional/categorical reading"], "concept_id": "python.conditionals", "constraints": ["Deductive validity, not empirical truth"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-arg-3-invalid-bedac54e0334", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.775, "tests": 0.0, "total": 2.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Most timeouts are caused by GC pauses. This request timed out. Therefore this timeout was a GC pause."], "plan": ["Identify form", "Check if the conclusion follows"], "prompt": "Classify the argument as valid or invalid (deductive). Explain briefly in the solution.\n\nMost timeouts are caused by GC pauses. This request timed out. Therefore this timeout was a GC pause.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Statistical generalization does not entail a particular.", "strategy": ["Identify form", "Check if the conclusion follows"], "task_type": "argument_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "invalid", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "105", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-7-5-105-77eb9fff8868", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=7", "k=5"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 5 people is chosen from 7 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(7,5) ways to choose the group, then 5 chairs: 105.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "105", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "252", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-9-7-252-1726c0a68c94", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=9", "k=7"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 7 people is chosen from 9 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(9,7) ways to choose the group, then 7 chairs: 252.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "252", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "280", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-8-4-280-6f1a27c26b4b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=8", "k=4"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 4 people is chosen from 8 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(8,4) ways to choose the group, then 4 chairs: 280.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "280", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-5-4-20-71af342ca7f1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=5", "k=4"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 4 people is chosen from 5 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(5,4) ways to choose the group, then 4 chairs: 20.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "20", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "105", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-7-3-105-f35bee2c62f1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=7", "k=3"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 3 people is chosen from 7 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(7,3) ways to choose the group, then 3 chairs: 105.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "105", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "30", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-6-5-30-92aeead7eace", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=6", "k=5"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 5 people is chosen from 6 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(6,5) ways to choose the group, then 5 chairs: 30.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "30", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-4-1-4-928d30018af4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=4", "k=1"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 1 people is chosen from 4 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(4,1) ways to choose the group, then 1 chairs: 4.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-5-2-20-fa73a8933100", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=5", "k=2"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 2 people is chosen from 5 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(5,2) ways to choose the group, then 2 chairs: 20.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "20", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "42", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-7-6-42-1fb3e0e99b20", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=7", "k=6"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 6 people is chosen from 7 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(7,6) ways to choose the group, then 6 chairs: 42.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "42", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-4-2-12-24e356169251", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=4", "k=2"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 2 people is chosen from 4 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(4,2) ways to choose the group, then 2 chairs: 12.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-7-1-7-e452d68e2a6e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=7", "k=1"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 1 people is chosen from 7 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(7,1) ways to choose the group, then 1 chairs: 7.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-9-1-9-33f4cfcecdf1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=9", "k=1"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 1 people is chosen from 9 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(9,1) ways to choose the group, then 1 chairs: 9.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "9", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "140", "assumptions": ["Order of non-chairs does not matter"], "concept_id": "science.energy", "constraints": ["People are distinct", "Chair must be in the group"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-quant-7-4-140-2ed1a2e7c270", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=7", "k=4"], "plan": ["Choose the subset", "Choose the chair"], "prompt": "A working group of 4 people is chosen from 7 engineers, then one member is designated chair. How many outcomes are there?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "C(7,4) ways to choose the group, then 4 chairs: 140.", "strategy": ["Choose the subset", "Choose the chair"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "140", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "no_perf_incident", "assumptions": ["Metrics are already aggregated"], "concept_id": "python.conditionals", "constraints": ["Ordered rules", "Single diagnosis"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ts-0-no-perf-incident-high-33625c8311cf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["cpu=high", "latency=normal", "errors=high"], "plan": ["Check error+latency", "Check CPU+latency", "Check latency alone"], "prompt": "Triage using: high errors+high latency => dependency_timeouts; else high CPU+high latency => cpu_saturation; else high latency => network_or_io; else no_perf_incident. Observed cpu=high, latency=normal, errors=high.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching triage rule: no_perf_incident.", "strategy": ["Check error+latency", "Check CPU+latency", "Check latency alone"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "no_perf_incident", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "network_or_io", "assumptions": ["Metrics are already aggregated"], "concept_id": "python.conditionals", "constraints": ["Ordered rules", "Single diagnosis"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ts-3-network-or-io-normal-63f004aee15c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["cpu=normal", "latency=high", "errors=normal"], "plan": ["Check error+latency", "Check CPU+latency", "Check latency alone"], "prompt": "Triage using: high errors+high latency => dependency_timeouts; else high CPU+high latency => cpu_saturation; else high latency => network_or_io; else no_perf_incident. Observed cpu=normal, latency=high, errors=normal.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching triage rule: network_or_io.", "strategy": ["Check error+latency", "Check CPU+latency", "Check latency alone"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "network_or_io", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "cpu_saturation", "assumptions": ["Metrics are already aggregated"], "concept_id": "python.conditionals", "constraints": ["Ordered rules", "Single diagnosis"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ts-4-cpu-saturation-high-4c9e1057d0c5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["cpu=high", "latency=high", "errors=normal"], "plan": ["Check error+latency", "Check CPU+latency", "Check latency alone"], "prompt": "Triage using: high errors+high latency => dependency_timeouts; else high CPU+high latency => cpu_saturation; else high latency => network_or_io; else no_perf_incident. Observed cpu=high, latency=high, errors=normal.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching triage rule: cpu_saturation.", "strategy": ["Check error+latency", "Check CPU+latency", "Check latency alone"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "cpu_saturation", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "dependency_timeouts", "assumptions": ["Metrics are already aggregated"], "concept_id": "python.conditionals", "constraints": ["Ordered rules", "Single diagnosis"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ts-13-dependency-timeouts-high-6e46e87c7e76", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.8999999999999999, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 4.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["cpu=high", "latency=high", "errors=high"], "plan": ["Check error+latency", "Check CPU+latency", "Check latency alone"], "prompt": "Triage using: high errors+high latency => dependency_timeouts; else high CPU+high latency => cpu_saturation; else high latency => network_or_io; else no_perf_incident. Observed cpu=high, latency=high, errors=high.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Apply the first matching triage rule: dependency_timeouts.", "strategy": ["Check error+latency", "Check CPU+latency", "Check latency alone"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "dependency_timeouts", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "s", "assumptions": ["Finite sets of symbols"], "concept_id": "python.collections", "constraints": ["Use the listed labels only", "Sorted comma-separated"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-set-intersect-0-stu-prs-4bbe8d56915b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=['s', 't', 'u']", "B=['p', 'r', 's']"], "plan": ["Apply the operation", "Sort the result"], "prompt": "Let A=['s', 't', 'u'] and B=['p', 'r', 's']. List A ∩ B in sorted order.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Compute the set operation on finite named elements: s.", "strategy": ["Apply the operation", "Sort the result"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "s", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "u", "assumptions": ["Finite sets of symbols"], "concept_id": "python.collections", "constraints": ["Use the listed labels only", "Sorted comma-separated"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-set-intersect-1-qsu-rtu-ab748261cef6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=['q', 's', 'u']", "B=['r', 't', 'u']"], "plan": ["Apply the operation", "Sort the result"], "prompt": "Let A=['q', 's', 'u'] and B=['r', 't', 'u']. List A ∩ B in sorted order.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Compute the set operation on finite named elements: u.", "strategy": ["Apply the operation", "Sort the result"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "u", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "p,q,r,t", "assumptions": ["Finite sets of symbols"], "concept_id": "python.collections", "constraints": ["Use the listed labels only", "Sorted comma-separated"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-set-union-2-prt-pqt-240a82117da5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=['p', 'r', 't']", "B=['p', 'q', 't']"], "plan": ["Apply the operation", "Sort the result"], "prompt": "Let A=['p', 'r', 't'] and B=['p', 'q', 't']. List A ∪ B in sorted order.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Compute the set operation on finite named elements: p,q,r,t.", "strategy": ["Apply the operation", "Sort the result"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "p,q,r,t", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "p,r,s,t,u", "assumptions": ["Finite sets of symbols"], "concept_id": "python.collections", "constraints": ["Use the listed labels only", "Sorted comma-separated"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-set-union-4-stu-pru-06dffbfd1a08", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=['s', 't', 'u']", "B=['p', 'r', 'u']"], "plan": ["Apply the operation", "Sort the result"], "prompt": "Let A=['s', 't', 'u'] and B=['p', 'r', 'u']. List A ∪ B in sorted order.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Compute the set operation on finite named elements: p,r,s,t,u.", "strategy": ["Apply the operation", "Sort the result"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "p,r,s,t,u", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "r", "assumptions": ["Finite sets of symbols"], "concept_id": "python.collections", "constraints": ["Use the listed labels only", "Sorted comma-separated"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-set-intersect-5-qrs-rtu-2f473eb07238", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=['q', 'r', 's']", "B=['r', 't', 'u']"], "plan": ["Apply the operation", "Sort the result"], "prompt": "Let A=['q', 'r', 's'] and B=['r', 't', 'u']. List A ∩ B in sorted order.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Compute the set operation on finite named elements: r.", "strategy": ["Apply the operation", "Sort the result"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "r", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "r,t", "assumptions": ["Finite sets of symbols"], "concept_id": "python.collections", "constraints": ["Use the listed labels only", "Sorted comma-separated"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-set-intersect-6-rtu-rst-f0b9f2715ced", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A=['r', 't', 'u']", "B=['r', 's', 't']"], "plan": ["Apply the operation", "Sort the result"], "prompt": "Let A=['r', 't', 'u'] and B=['r', 's', 't']. List A ∩ B in sorted order.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Compute the set operation on finite named elements: r,t.", "strategy": ["Apply the operation", "Sort the result"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "r,t", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "3", "assumptions": ["Simple undirected graph"], "concept_id": "cs.graphs", "constraints": ["Unweighted hops", "Undirected"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-hops-2-4-3-777f491862a3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["extra edge (2, 4)"], "plan": ["Run BFS", "Read distance of the goal"], "prompt": "Undirected edges: 0-1, 1-2, 2-3, 3-4, and 2-4. What is the fewest hops from 0 to 4?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "BFS from 0 reaches 4 in 3 hops.", "strategy": ["Run BFS", "Read distance of the goal"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["Simple undirected graph"], "concept_id": "cs.graphs", "constraints": ["Unweighted hops", "Undirected"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-hops-0-3-6-535f4f696a0c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["extra edge (0, 3)"], "plan": ["Run BFS", "Read distance of the goal"], "prompt": "Undirected edges: 0-1, 1-2, 2-3, 3-4, and 0-3. What is the fewest hops from 0 to 4?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "BFS from 0 reaches 4 in 2 hops.", "strategy": ["Run BFS", "Read distance of the goal"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "thermostat", "assumptions": ["The later isolation test is valid"], "concept_id": "python.loops", "constraints": ["Single best cause among the named options", "No unstated confounders"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-causal-v101-0-b3c41b30e00f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.8, "prompt_length": 1.125, "tests": 0.0, "total": 4.05}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Two changes co-occurred", "Only thermostat was reverted"], "plan": ["List co-occurring changes", "See what remained when the effect vanished"], "prompt": "A bakery's burnt-loaf rate rose the week they changed flour vendors and the week the oven thermostat failed. After replacing only the thermostat, the rate returned to baseline while still using the new flour. What is the better causal claim: flour, thermostat, or both required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The flour change remained after the rate recovered, so it was not necessary for the spike. The thermostat repair coincided with recovery.", "strategy": ["List co-occurring changes", "See what remained when the effect vanished"], "task_type": "causal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "thermostat", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "schema migration", "assumptions": ["The later isolation test is valid"], "concept_id": "python.loops", "constraints": ["Single best cause among the named options", "No unstated confounders"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-causal-v101-1-7366a7b16174", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Two candidate causes", "Rollback isolated one"], "plan": ["List co-occurring changes", "See what remained when the effect vanished"], "prompt": "App latency rose after a cache flush and after a schema migration. Rolling back the migration (cache still cold) restored latency. Which change is sufficient to explain the regression?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The cold cache remained after rollback, yet latency recovered, so the flush was not required for the regression.", "strategy": ["List co-occurring changes", "See what remained when the effect vanished"], "task_type": "causal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "schema migration", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "fertilizer", "assumptions": ["The later isolation test is valid"], "concept_id": "python.conditionals", "constraints": ["Single best cause among the named options", "No unstated confounders"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-causal-v101-2-4a9f026f91d2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.8, "prompt_length": 0.85, "tests": 0.0, "total": 3.775}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Water-only control", "Fertilizer+water treatment"], "plan": ["List co-occurring changes", "See what remained when the effect vanished"], "prompt": "Plant height increased in a plot that received fertilizer and extra water. A neighboring plot with extra water only did not grow more. Relative to water-only, what is the supported cause of extra height?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Water was present in both plots. The difference that tracks extra height is fertilizer.", "strategy": ["List co-occurring changes", "See what remained when the effect vanished"], "task_type": "causal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "fertilizer", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Friday deploy", "assumptions": ["The later isolation test is valid"], "concept_id": "python.loops", "constraints": ["Single best cause among the named options", "No unstated confounders"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-causal-v101-3-40510c4d3ea6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Holiday ended before revert", "Revert then drop"], "plan": ["List co-occurring changes", "See what remained when the effect vanished"], "prompt": "Bug reports spiked after a Friday deploy and a Monday holiday. The deploy was reverted Tuesday; reports dropped though the holiday had already passed. What better explains the spike?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The holiday was over before the drop. Revert tracked the drop, so the deploy is the better explanation.", "strategy": ["List co-occurring changes", "See what remained when the effect vanished"], "task_type": "causal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Friday deploy", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "construction", "assumptions": ["The later isolation test is valid"], "concept_id": "python.loops", "constraints": ["Single best cause among the named options", "No unstated confounders"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-causal-v101-4-b0ac5696694a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.85, "tests": 0.0, "total": 3.65}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Similar rain later", "Construction paused later"], "plan": ["List co-occurring changes", "See what remained when the effect vanished"], "prompt": "A river's turbidity rose after rain and after a construction start. A later rain of similar size, while construction was paused, did not raise turbidity. What is the better explanation of the first spike?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Rain alone later did not reproduce the spike, so rain is not sufficient. Construction remaining on during the first rain is the distinguishing factor.", "strategy": ["List co-occurring changes", "See what remained when the effect vanished"], "task_type": "causal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "construction", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "shortened term", "assumptions": ["The later isolation test is valid"], "concept_id": "python.context_managers", "constraints": ["Single best cause among the named options", "No unstated confounders"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-causal-v101-5-3b008debb66d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.85, "tests": 0.0, "total": 3.65}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Textbook held constant later", "Term length restored"], "plan": ["List co-occurring changes", "See what remained when the effect vanished"], "prompt": "Exam scores fell after switching textbooks and after shortening the term. A later cohort used the new book with the original term length and scored like the historical baseline. What better explains the drop?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The new textbook with the old calendar matched baseline, so the book was not sufficient to cause the drop.", "strategy": ["List co-occurring changes", "See what remained when the effect vanished"], "task_type": "causal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "shortened term", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10:00,11:00,09:00", "assumptions": ["Instant travel unless stated"], "concept_id": "python.loops", "constraints": ["No overlapping exclusive resources", "Respect windows"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-plan-passport-e353b2a4a3ad", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.825, "tests": 0.0, "total": 4.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Passport window 10-12", "Earliest finish"], "plan": ["Identify constrained tasks", "Place unconstrained fillers", "Check finish"], "prompt": "Tasks: taxes 2h unconstrained; passport 1h only 10:00-12:00; groceries 1h anytime. Work starts 09:00, no overlap. List start times as HH:MM for passport, taxes, groceries in that order, finishing as early as possible.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Groceries 09:00-10:00, passport 10:00-11:00 (inside the window), taxes 11:00-13:00. Finish 13:00.", "strategy": ["Identify constrained tasks", "Place unconstrained fillers", "Check finish"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "10:00,11:00,09:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "13:00,13:30,12:30", "assumptions": ["Instant travel unless stated"], "concept_id": "python.conditionals", "constraints": ["No overlapping exclusive resources", "Respect windows"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "intermediate", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-plan-hood-e437d164a2b2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 1.25, "tests": 0.0, "total": 4.95}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Hood only 13:00-14:00", "Analysis depends on hood"], "plan": ["Identify constrained tasks", "Place unconstrained fillers", "Check finish"], "prompt": "A chemist needs 30 min of fume-hood time, 45 min of analysis that requires the hood product, and 20 min of glassware wash that can run anytime. The hood is free only 13:00-14:00. Start at 12:30. Give start times HH:MM for hood, analysis, wash in that order with no overlap.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Wash 12:30-12:50 (or any pre-hood slot). Hood must start 13:00. Analysis after hood: 13:30. Wash cannot be after if we want a feasible early plan; 12:30 wash works.", "strategy": ["Identify constrained tasks", "Place unconstrained fillers", "Check finish"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "13:00,13:30,12:30", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "A,B,A", "assumptions": ["Instant travel unless stated"], "concept_id": "python.collections", "constraints": ["No overlapping exclusive resources", "Respect windows"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-plan-rooms-64da3d68db61", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.9, "tests": 0.0, "total": 4.3500000000000005}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A cannot be consecutive", "Three slots"], "plan": ["Identify constrained tasks", "Place unconstrained fillers", "Check finish"], "prompt": "Three talks of 20 min must be scheduled in rooms A then B then A again (A cannot host two consecutive talks). Slots are 09:00, 09:30, 10:00. Assign rooms as a comma-separated list in slot order.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "A, A, A would consecutive-A. A,B,A alternates and uses A twice.", "strategy": ["Identify constrained tasks", "Place unconstrained fillers", "Check finish"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "A,B,A", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "08:30", "assumptions": ["Instant travel unless stated"], "concept_id": "python.iterators", "constraints": ["No overlapping exclusive resources", "Respect windows"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-plan-bus-88b342f46c41", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.85, "tests": 0.0, "total": 4.3}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Walk 10 min", "Buses :00 and :30"], "plan": ["Identify constrained tasks", "Place unconstrained fillers", "Check finish"], "prompt": "You have a 15-min bus at :00 and :30 past each hour and a 10-min walk to the stop. You leave home at 08:07. What is the earliest bus you can catch as HH:MM?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Arrive at stop 08:17, missing 08:00. Next is 08:30.", "strategy": ["Identify constrained tasks", "Place unconstrained fillers", "Check finish"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "08:30", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "17:20", "assumptions": ["Instant travel unless stated"], "concept_id": null, "constraints": ["No overlapping exclusive resources", "Respect windows"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-plan-bake-7b8fbae3a483", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 4.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Serial tasks", "Oven from 16:40"], "plan": ["Identify constrained tasks", "Place unconstrained fillers", "Check finish"], "prompt": "Bake 25 min, cool 10 min, glaze 5 min, in that order, no overlap. Oven is free from 16:40. When is glazing finished as HH:MM?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Bake 16:40-17:05, cool 17:05-17:15, glaze 17:15-17:20.", "strategy": ["Identify constrained tasks", "Place unconstrained fillers", "Check finish"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "17:20", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Ann:lab,Bea:field,Cal:desk", "assumptions": ["No unlisted edges"], "concept_id": "python.collections", "constraints": ["Respect refusals and capacities"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-match-jobs-e3a85183f571", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 2.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Finite matching instance"], "plan": ["Write the bipartite graph", "Find a maximum matching"], "prompt": "Assign {Ann, Bea, Cal} to {desk, lab, field}. Ann refuses field, Bea refuses desk, Cal refuses lab, and the lab must go to Ann. List person:job alphabetically by person.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Lab is Ann. Bea cannot desk so Bea field. Cal gets desk.", "strategy": ["Write the bipartite graph", "Find a maximum matching"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Ann:lab,Bea:field,Cal:desk", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": ["No unlisted edges"], "concept_id": "python.classes", "constraints": ["Respect refusals and capacities"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "introductory", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-match-benches-ba25333c9f66", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.675, "tests": 0.0, "total": 2.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Finite matching instance"], "plan": ["Write the bipartite graph", "Find a maximum matching"], "prompt": "Four students want two lab benches. Compatible pairs are (Ada, Ben), (Ada, Cyd), (Ben, Di). Maximize pairs without sharing a person. How many pairs can you seat?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Any two of those pairs share Ada or Ben. Maximum matching size is 1.", "strategy": ["Write the bipartite graph", "Find a maximum matching"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["No unlisted edges"], "concept_id": "python.classes", "constraints": ["Respect refusals and capacities"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-match-tutors-c669532e3c81", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.3, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.1}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Finite matching instance"], "plan": ["Write the bipartite graph", "Find a maximum matching"], "prompt": "Tutors {T1,T2} and students {S1,S2,S3}. Each tutor takes at most one student. Allowed: T1-S1, T1-S2, T2-S2, T2-S3. Maximum number of matched students?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Two tutors, so at most 2. T1-S1 and T2-S3 is a maximum matching.", "strategy": ["Write the bipartite graph", "Find a maximum matching"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": ["Named colors are distinct labels"], "concept_id": "cs.data_structures", "constraints": ["Proper vertex coloring"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "introductory", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-chrom-k3-5bee6d55685d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 1.9249999999999998}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Finite simple graph"], "plan": ["Use bipartiteness or clique number"], "prompt": "A triangle graph (3 vertices all adjacent) is to be vertex-colored. What is the chromatic number?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "K3 needs three colors.", "strategy": ["Use bipartiteness or clique number"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["Named colors are distinct labels"], "concept_id": "cs.data_structures", "constraints": ["Proper vertex coloring"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "introductory", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-chrom-c4-9211d7488d27", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 0.4, "prompt_length": 0.3, "tests": 0.0, "total": 1.95}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Finite simple graph"], "plan": ["Use bipartiteness or clique number"], "prompt": "A cycle of 4 vertices (square) is to be vertex-colored. Chromatic number?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Even cycles are bipartite, so 2-colorable.", "strategy": ["Use bipartiteness or clique number"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["Named colors are distinct labels"], "concept_id": "python.conditionals", "constraints": ["Proper vertex coloring"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-chrom-edge-f03af0411188", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 0.4, "prompt_length": 0.8, "tests": 0.0, "total": 2.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Finite simple graph"], "plan": ["Use bipartiteness or clique number"], "prompt": "How many proper 2-colorings does a single edge (2 vertices, 1 edge) have if colors are {red, blue} and the two vertices must differ? Count labeled colorings, not up to swapping colors.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Red-blue or blue-red. Same-color is forbidden.", "strategy": ["Use bipartiteness or clique number"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["Named colors are distinct labels"], "concept_id": "python.conditionals", "constraints": ["Proper vertex coloring"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "introductory", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-chrom-p3-00f553c6e2fe", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.4, "prompt_length": 0.475, "tests": 0.0, "total": 1.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Finite simple graph"], "plan": ["Use bipartiteness or clique number"], "prompt": "A path of 3 vertices needs vertex colors so adjacent vertices differ. Using 2 colors, how many labeled colorings?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Ends must match each other (both differ from the middle). 2 choices for the middle, then ends are forced. Wait: middle has 2 choices, each end has 1 remaining color. 2 colorings. Yes.", "strategy": ["Use bipartiteness or clique number"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Tuesday", "assumptions": ["2026 is not a leap year"], "concept_id": "go.concurrency", "constraints": ["Use the stated counting convention"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "introductory", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cal-plus7-3849b50509a2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.4499999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Gregorian calendar", "No DST unless stated"], "plan": ["Apply weekday or month-length arithmetic"], "prompt": "2026-08-18 is a Tuesday. What weekday is 2026-08-25 (same calendar)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Seven days later is the same weekday.", "strategy": ["Apply weekday or month-length arithmetic"], "task_type": "temporal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "Tuesday", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2026-08-28", "assumptions": ["2026 is not a leap year"], "concept_id": "go.concurrency", "constraints": ["Use the stated counting convention"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cal-work10-2ee0d192b909", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.6, "plan": 0.4, "prompt_length": 0.55, "tests": 0.0, "total": 3.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Gregorian calendar", "No DST unless stated"], "plan": ["Apply weekday or month-length arithmetic"], "prompt": "A project starts Monday 2026-08-17 and lasts 10 working days, skipping Saturday and Sunday, no holidays. What is the finish date YYYY-MM-DD?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Mon 17 through Fri 21 is 5 days; Mon 24 through Fri 28 is 5 more. Finish Friday 28.", "strategy": ["Apply weekday or month-length arithmetic"], "task_type": "temporal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2026-08-28", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "59", "assumptions": ["2026 is not a leap year"], "concept_id": "python.conditionals", "constraints": ["Use the stated counting convention"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cal-janmar-8a5be5bb00ca", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.55, "tests": 0.0, "total": 2.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Gregorian calendar", "No DST unless stated"], "plan": ["Apply weekday or month-length arithmetic"], "prompt": "From 2026-01-01 to 2026-03-01, how many calendar days elapse if we count the end date but not the start date (date difference)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "2026 is not a leap year: 31 days in Jan + 28 in Feb = 59 to March 1.", "strategy": ["Apply weekday or month-length arithmetic"], "task_type": "temporal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "59", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2026-08-20 09:00", "assumptions": ["2026 is not a leap year"], "concept_id": "go.concurrency", "constraints": ["Use the stated counting convention"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-cal-48h-d8fed77f0498", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.875, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.0749999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Gregorian calendar", "No DST unless stated"], "plan": ["Apply weekday or month-length arithmetic"], "prompt": "A 48-hour timer starts 2026-08-18 09:00. When does it end, local civil time with no DST change, as YYYY-MM-DD HH:MM?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "48 hours is exactly two days later at the same clock time.", "strategy": ["Apply weekday or month-length arithmetic"], "task_type": "temporal_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2026-08-20 09:00", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "42", "assumptions": ["Exact decimal arithmetic"], "concept_id": "javascript.promises", "constraints": ["No hidden tax unless stated"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-bill-tip-dd70a3cc2a46", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Stated prices only"], "plan": ["Compute base", "Apply coupon/tip", "Add"], "prompt": "A bill is $90. Three people split equally, then one person covers a $12 tip on top of their share. How many dollars does that person pay in total?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Share 30, plus 12 tip = 42.", "strategy": ["Compute base", "Apply coupon/tip", "Add"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "42", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "47.5", "assumptions": ["Exact decimal arithmetic"], "concept_id": null, "constraints": ["No hidden tax unless stated"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-bill-coupon-ae2cbd7d3810", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 3.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Stated prices only"], "plan": ["Compute base", "Apply coupon/tip", "Add"], "prompt": "Items cost 15, 25, and 10. A 10% coupon applies only to the most expensive item. What is the total after the coupon, in dollars?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "25*0.9=22.5; 15+22.5+10=47.5.", "strategy": ["Compute base", "Apply coupon/tip", "Add"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "47.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": ["Exact decimal arithmetic"], "concept_id": "python.conditionals", "constraints": ["No hidden tax unless stated"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-bill-deposit-a0d761ba36e7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.975, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Stated prices only"], "plan": ["Compute base", "Apply coupon/tip", "Add"], "prompt": "Four people share a $80 bill. One paid $50 already as a deposit. How much does each of the other three still owe if the deposit counts toward the group total and remaining is split equally among the three?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Remaining 30, three people, 10 each.", "strategy": ["Compute base", "Apply coupon/tip", "Add"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "10", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "27.6", "assumptions": ["Exact decimal arithmetic"], "concept_id": "python.conditionals", "constraints": ["No hidden tax unless stated"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-bill-taxi-b1d6893abc84", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Stated prices only"], "plan": ["Compute base", "Apply coupon/tip", "Add"], "prompt": "A taxi is $18 plus $2 per extra rider. Three extra riders and a 15% tip on the pre-tip fare. What is the total, dollars (one decimal if needed)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Fare 18+6=24; tip 3.6; total 27.6.", "strategy": ["Compute base", "Apply coupon/tip", "Add"], "task_type": "quantitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "27.6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "undetermined", "assumptions": ["Premises are given as true"], "concept_id": "python.collections", "constraints": ["Do not import extra world knowledge"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "introductory", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-syl-undetermined-692bd7091d73", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.525, "tests": 0.0, "total": 2.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Classical categorical/propositional reading"], "plan": ["Translate to set inclusion or implication", "Check validity"], "prompt": "All widgets are gadgets. Some gadgets are branded. Does it follow that some widgets are branded? Answer yes, no, or undetermined.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "The branded gadgets might all lie outside the widget subset.", "strategy": ["Translate to set inclusion or implication", "Check validity"], "task_type": "argument_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "undetermined", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "no", "assumptions": ["Premises are given as true"], "concept_id": "python.collections", "constraints": ["Do not import extra world knowledge"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "introductory", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-syl-no-548e981c147d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 2.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Classical categorical/propositional reading"], "plan": ["Translate to set inclusion or implication", "Check validity"], "prompt": "No squares are circles. All tiles in set T are squares. Are any tiles in T circles? Answer yes, no, or undetermined.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "T ⊆ squares, squares ∩ circles = empty, so T ∩ circles = empty.", "strategy": ["Translate to set inclusion or implication", "Check validity"], "task_type": "argument_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "no", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "yes", "assumptions": ["Premises are given as true"], "concept_id": "python.classes", "constraints": ["Do not import extra world knowledge"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "introductory", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-syl-yes-441517a151d3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.45, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Classical categorical/propositional reading"], "plan": ["Translate to set inclusion or implication", "Check validity"], "prompt": "Every intern is a contractor. Maya is an intern. Is Maya a contractor? Answer yes, no, or undetermined.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Universal instantiation: intern ⇒ contractor.", "strategy": ["Translate to set inclusion or implication", "Check validity"], "task_type": "argument_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "yes", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "undetermined", "assumptions": ["Premises are given as true"], "concept_id": "python.conditionals", "constraints": ["Do not import extra world knowledge"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "introductory", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-syl-converse-4497d02ba83b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.275}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Classical categorical/propositional reading"], "plan": ["Translate to set inclusion or implication", "Check validity"], "prompt": "If the server is down then alerts fire. Alerts fired. Is the server down? Answer yes, no, or undetermined.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Affirming the consequent. Alerts can fire for other reasons.", "strategy": ["Translate to set inclusion or implication", "Check validity"], "task_type": "argument_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "undetermined", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "SYN-ACK", "assumptions": ["Standard textbook protocol"], "concept_id": "python.conditionals", "constraints": ["Defensive systems behaviour, not exploits"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-proto-syn-d366215f191f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.825, "tests": 0.0, "total": 3.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Protocol rules as stated"], "plan": ["Name the protocol step", "Apply the recovery rule"], "prompt": "A handshake is: SYN, SYN-ACK, ACK. Packet 2 is lost and the client retries SYN. What is the next packet the server should send if it had not seen the first SYN complete?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "A new SYN starts the handshake; server replies SYN-ACK.", "strategy": ["Name the protocol step", "Apply the recovery rule"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "SYN-ACK", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "COMMIT", "assumptions": ["Standard textbook protocol"], "concept_id": "python.conditionals", "constraints": ["Defensive systems behaviour, not exploits"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-proto-2pc-fac3d8006013", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 0.8, "prompt_length": 0.9, "tests": 0.0, "total": 2.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Protocol rules as stated"], "plan": ["Name the protocol step", "Apply the recovery rule"], "prompt": "Two-phase commit: coordinator sent PREPARE and got YES from both workers, then crashed before COMMIT. Workers are waiting. After restart, what must the coordinator send to remain consistent if it had logged the decision to commit?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "If the commit decision was logged, replay COMMIT, not ABORT.", "strategy": ["Name the protocol step", "Apply the recovery rule"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "COMMIT", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "either depending on the scheduler", "assumptions": ["Standard textbook protocol"], "concept_id": "cs.concurrency", "constraints": ["Defensive systems behaviour, not exploits"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-proto-mutex-cdec72959bbd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 2.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Protocol rules as stated"], "plan": ["Name the protocol step", "Apply the recovery rule"], "prompt": "A mutex is locked by thread A. Thread B waits. A unlocks. Who may run the critical section next: only B, only A, or either depending on the scheduler?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Unlock does not donate the lock to B unless the API says so.", "strategy": ["Name the protocol step", "Apply the recovery rule"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "either depending on the scheduler", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "yes", "assumptions": ["Standard textbook protocol"], "concept_id": "cs.http", "constraints": ["Defensive systems behaviour, not exploits"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-proto-get-3f447b8fc992", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 2.775}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Protocol rules as stated"], "plan": ["Name the protocol step", "Apply the recovery rule"], "prompt": "HTTP GET is retried after a timeout with no response. The original GET was side-effect free. Is the retry safe with respect to duplicate effects? Answer yes or no.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "GET is specified as safe/idempotent; duplicate GET should not create extra effects.", "strategy": ["Name the protocol step", "Apply the recovery rule"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "yes", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7", "assumptions": ["No negative edges"], "concept_id": "python.testing", "constraints": ["Simple paths", "Given graph only"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-path-oslo-eac2473cc257", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.3, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 3.725}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Nonnegative edge weights"], "plan": ["Enumerate short routes", "Take the minimum"], "prompt": "Cities: Oslo-Bergen 5, Oslo-Trondheim 7, Bergen-Trondheim 4, Bergen-Stavanger 2. Shortest Oslo to Stavanger length?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Oslo-Bergen-Stavanger = 5+2 = 7. Via Trondheim is longer.", "strategy": ["Enumerate short routes", "Take the minimum"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["No negative edges"], "concept_id": "python.loops", "constraints": ["Simple paths", "Given graph only"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-path-grid-bb8af1d8bc05", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 0.8, "prompt_length": 0.65, "tests": 0.0, "total": 3.775}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Nonnegative edge weights"], "plan": ["Enumerate short routes", "Take the minimum"], "prompt": "Grid: A connected to B and D; B to C; D to C. All edges cost 1. How many distinct shortest A-C paths (as vertex sequences)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "A-B-C and A-D-C, both length 2.", "strategy": ["Enumerate short routes", "Take the minimum"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": ["No negative edges"], "concept_id": "python.testing", "constraints": ["Simple paths", "Given graph only"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-path-dir-c972ee4e8746", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.9}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Nonnegative edge weights"], "plan": ["Enumerate short routes", "Take the minimum"], "prompt": "Directed edges A→B 3, A→C 9, B→C 4, B→D 1, C→D 1. Shortest A to D?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "A-B-D = 3+1 = 4. A-B-C-D = 8. A-C-D = 10.", "strategy": ["Enumerate short routes", "Take the minimum"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["No negative edges"], "concept_id": "go.concurrency", "constraints": ["Simple paths", "Given graph only"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-path-star-a3a264a63c45", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.15}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Nonnegative edge weights"], "plan": ["Enumerate short routes", "Take the minimum"], "prompt": "An undirected star with center H and leaves A,B,C. Edge weights 1. Distance A to B?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Must go A-H-B.", "strategy": ["Enumerate short routes", "Take the minimum"], "task_type": "decision_analysis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": ["Items fit individually"], "concept_id": "cs.sorting", "constraints": ["First-fit decreasing", "Do not split items"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ffd-0-10-5-6-5-8-02961c4ad654", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.6, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=10", "items=[5, 6, 5, 8]"], "plan": ["Sort descending", "Place each item in the first bin with room"], "prompt": "Pack items [5, 6, 5, 8] into bins of capacity 10 using first-fit decreasing. How many bins are used?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Sort descending [8, 6, 5, 5]; first-fit uses 3 bins.", "strategy": ["Sort descending", "Place each item in the first bin with room"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "2", "assumptions": ["Items fit individually"], "concept_id": "cs.sorting", "constraints": ["First-fit decreasing", "Do not split items"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-ffd-19-15-9-3-2-12-4d3fcdb2eea5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.6, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=15", "items=[9, 3, 2, 12]"], "plan": ["Sort descending", "Place each item in the first bin with room"], "prompt": "Pack items [9, 3, 2, 12] into bins of capacity 15 using first-fit decreasing. How many bins are used?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Sort descending [12, 9, 3, 2]; first-fit uses 2 bins.", "strategy": ["Sort descending", "Place each item in the first bin with room"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-0-9-ivy-jules-kiran-lane-8b6a3d26dca5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Ivy': 5, 'Jules': 4, 'Kiran': 6, 'Lane': 2}", "required=['Ivy', 'Jules']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Ivy', 'Jules', 'Kiran', 'Lane'] with costs {'Ivy': 5, 'Jules': 4, 'Kiran': 6, 'Lane': 2}. Must include ['Ivy', 'Jules']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Ivy', 'Jules'] costs 9.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "9", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "11", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-1-11-jules-kiran-lane-mira-a4521010d8ee", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Jules': 8, 'Kiran': 3, 'Lane': 5, 'Mira': 3}", "required=['Jules', 'Kiran']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Jules', 'Kiran', 'Lane', 'Mira'] with costs {'Jules': 8, 'Kiran': 3, 'Lane': 5, 'Mira': 3}. Must include ['Jules', 'Kiran']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Jules', 'Kiran'] costs 11.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "11", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-2-12-kiran-lane-mira-nico-7522078f520d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Kiran': 9, 'Lane': 3, 'Mira': 4, 'Nico': 9}", "required=['Kiran', 'Lane']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Kiran', 'Lane', 'Mira', 'Nico'] with costs {'Kiran': 9, 'Lane': 3, 'Mira': 4, 'Nico': 9}. Must include ['Kiran', 'Lane']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Kiran', 'Lane'] costs 12.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-3-12-ivy-jules-kiran-lane-8f52a483f8b2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Ivy': 6, 'Jules': 6, 'Kiran': 8, 'Lane': 9}", "required=['Ivy', 'Jules']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Ivy', 'Jules', 'Kiran', 'Lane'] with costs {'Ivy': 6, 'Jules': 6, 'Kiran': 8, 'Lane': 9}. Must include ['Ivy', 'Jules']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Ivy', 'Jules'] costs 12.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "14", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-4-14-jules-kiran-lane-mira-db81f34b81bb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Jules': 9, 'Kiran': 5, 'Lane': 9, 'Mira': 4}", "required=['Jules', 'Kiran']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Jules', 'Kiran', 'Lane', 'Mira'] with costs {'Jules': 9, 'Kiran': 5, 'Lane': 9, 'Mira': 4}. Must include ['Jules', 'Kiran']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Jules', 'Kiran'] costs 14.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "14", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "13", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-5-13-kiran-lane-mira-nico-73fa41d45b16", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Kiran': 8, 'Lane': 5, 'Mira': 4, 'Nico': 3}", "required=['Kiran', 'Lane']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Kiran', 'Lane', 'Mira', 'Nico'] with costs {'Kiran': 8, 'Lane': 5, 'Mira': 4, 'Nico': 3}. Must include ['Kiran', 'Lane']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Kiran', 'Lane'] costs 13.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "13", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "14", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-6-14-ivy-jules-kiran-lane-d73c5944185c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Ivy': 6, 'Jules': 8, 'Kiran': 7, 'Lane': 6}", "required=['Ivy', 'Jules']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Ivy', 'Jules', 'Kiran', 'Lane'] with costs {'Ivy': 6, 'Jules': 8, 'Kiran': 7, 'Lane': 6}. Must include ['Ivy', 'Jules']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Ivy', 'Jules'] costs 14.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "14", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-7-8-jules-kiran-lane-mira-c8cf5dead425", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Jules': 2, 'Kiran': 6, 'Lane': 6, 'Mira': 9}", "required=['Jules', 'Kiran']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Jules', 'Kiran', 'Lane', 'Mira'] with costs {'Jules': 2, 'Kiran': 6, 'Lane': 6, 'Mira': 9}. Must include ['Jules', 'Kiran']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Jules', 'Kiran'] costs 8.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "13", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-8-13-kiran-lane-mira-nico-908e8191b115", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Kiran': 4, 'Lane': 9, 'Mira': 9, 'Nico': 7}", "required=['Kiran', 'Lane']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Kiran', 'Lane', 'Mira', 'Nico'] with costs {'Kiran': 4, 'Lane': 9, 'Mira': 9, 'Nico': 7}. Must include ['Kiran', 'Lane']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Kiran', 'Lane'] costs 13.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "13", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "15", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-9-15-ivy-jules-kiran-lane-2b3b3734dfed", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Ivy': 7, 'Jules': 8, 'Kiran': 9, 'Lane': 7}", "required=['Ivy', 'Jules']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Ivy', 'Jules', 'Kiran', 'Lane'] with costs {'Ivy': 7, 'Jules': 8, 'Kiran': 9, 'Lane': 7}. Must include ['Ivy', 'Jules']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Ivy', 'Jules'] costs 15.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "15", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-10-10-jules-kiran-lane-mira-2b6b179ad624", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Jules': 5, 'Kiran': 5, 'Lane': 8, 'Mira': 5}", "required=['Jules', 'Kiran']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Jules', 'Kiran', 'Lane', 'Mira'] with costs {'Jules': 5, 'Kiran': 5, 'Lane': 8, 'Mira': 5}. Must include ['Jules', 'Kiran']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Jules', 'Kiran'] costs 10.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "10", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-11-10-kiran-lane-mira-nico-178bd4d30c50", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Kiran': 8, 'Lane': 2, 'Mira': 7, 'Nico': 9}", "required=['Kiran', 'Lane']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Kiran', 'Lane', 'Mira', 'Nico'] with costs {'Kiran': 8, 'Lane': 2, 'Mira': 7, 'Nico': 9}. Must include ['Kiran', 'Lane']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Kiran', 'Lane'] costs 10.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "10", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-12-16-ivy-jules-kiran-lane-1c8638db387e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Ivy': 8, 'Jules': 8, 'Kiran': 4, 'Lane': 9}", "required=['Ivy', 'Jules']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Ivy', 'Jules', 'Kiran', 'Lane'] with costs {'Ivy': 8, 'Jules': 8, 'Kiran': 4, 'Lane': 9}. Must include ['Ivy', 'Jules']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Ivy', 'Jules'] costs 16.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "16", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-13-6-jules-kiran-lane-mira-730cc2846ce9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Jules': 2, 'Kiran': 4, 'Lane': 7, 'Mira': 3}", "required=['Jules', 'Kiran']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Jules', 'Kiran', 'Lane', 'Mira'] with costs {'Jules': 2, 'Kiran': 4, 'Lane': 7, 'Mira': 3}. Must include ['Jules', 'Kiran']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Jules', 'Kiran'] costs 6.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-14-12-kiran-lane-mira-nico-09914cf76f4e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Kiran': 9, 'Lane': 3, 'Mira': 9, 'Nico': 2}", "required=['Kiran', 'Lane']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Kiran', 'Lane', 'Mira', 'Nico'] with costs {'Kiran': 9, 'Lane': 3, 'Mira': 9, 'Nico': 2}. Must include ['Kiran', 'Lane']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Kiran', 'Lane'] costs 12.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-15-12-ivy-jules-kiran-lane-dab9b3c8a25b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Ivy': 4, 'Jules': 8, 'Kiran': 4, 'Lane': 3}", "required=['Ivy', 'Jules']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Ivy', 'Jules', 'Kiran', 'Lane'] with costs {'Ivy': 4, 'Jules': 8, 'Kiran': 4, 'Lane': 3}. Must include ['Ivy', 'Jules']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Ivy', 'Jules'] costs 12.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "15", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-16-15-jules-kiran-lane-mira-facf6b81b652", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Jules': 9, 'Kiran': 6, 'Lane': 7, 'Mira': 8}", "required=['Jules', 'Kiran']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Jules', 'Kiran', 'Lane', 'Mira'] with costs {'Jules': 9, 'Kiran': 6, 'Lane': 7, 'Mira': 8}. Must include ['Jules', 'Kiran']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Jules', 'Kiran'] costs 15.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "15", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": ["No other constraints"], "concept_id": "python.collections", "constraints": ["Required members", "Minimize sum"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-team-17-10-kiran-lane-mira-nico-db2e31755e01", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.725, "tests": 0.0, "total": 3.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["costs={'Kiran': 3, 'Lane': 7, 'Mira': 8, 'Nico': 7}", "required=['Kiran', 'Lane']"], "plan": ["Enumerate subsets containing required names", "Pick min cost"], "prompt": "Select a team from ['Kiran', 'Lane', 'Mira', 'Nico'] with costs {'Kiran': 3, 'Lane': 7, 'Mira': 8, 'Nico': 7}. Must include ['Kiran', 'Lane']. Minimize total cost. What is that cost?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Cheapest feasible set ['Kiran', 'Lane'] costs 10.", "strategy": ["Enumerate subsets containing required names", "Pick min cost"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "10", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "defer", "assumptions": ["All votes valid"], "concept_id": "python.functions", "constraints": ["Plurality", "Fixed tie-break order"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-maj-0-defer-ddrdada-f100a177911a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.975}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["votes=['defer', 'defer', 'reject', 'defer', 'accept', 'defer', 'accept']"], "plan": ["Count labels", "Apply tie-break"], "prompt": "Seven reviewers vote ['defer', 'defer', 'reject', 'defer', 'accept', 'defer', 'accept']. Majority (ties broken by accept>reject>defer). What is the outcome?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Counts {'accept': 2, 'reject': 1, 'defer': 4}; winner defer.", "strategy": ["Count labels", "Apply tie-break"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "defer", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "accept", "assumptions": ["All votes valid"], "concept_id": "python.functions", "constraints": ["Plurality", "Fixed tie-break order"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-maj-1-accept-addrada-b755bb0a147c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.975}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["votes=['accept', 'defer', 'defer', 'reject', 'accept', 'defer', 'accept']"], "plan": ["Count labels", "Apply tie-break"], "prompt": "Seven reviewers vote ['accept', 'defer', 'defer', 'reject', 'accept', 'defer', 'accept']. Majority (ties broken by accept>reject>defer). What is the outcome?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Counts {'accept': 3, 'reject': 1, 'defer': 3}; winner accept.", "strategy": ["Count labels", "Apply tie-break"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "accept", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "accept", "assumptions": ["All votes valid"], "concept_id": "python.functions", "constraints": ["Plurality", "Fixed tie-break order"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-maj-2-accept-raddara-64d935445434", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.975}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["votes=['reject', 'accept', 'defer', 'defer', 'accept', 'reject', 'accept']"], "plan": ["Count labels", "Apply tie-break"], "prompt": "Seven reviewers vote ['reject', 'accept', 'defer', 'defer', 'accept', 'reject', 'accept']. Majority (ties broken by accept>reject>defer). What is the outcome?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Counts {'accept': 3, 'reject': 2, 'defer': 2}; winner accept.", "strategy": ["Count labels", "Apply tie-break"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "accept", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "reject", "assumptions": ["All votes valid"], "concept_id": "python.functions", "constraints": ["Plurality", "Fixed tie-break order"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-maj-4-reject-rrraadr-0dda6e6e6186", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.975}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["votes=['reject', 'reject', 'reject', 'accept', 'accept', 'defer', 'reject']"], "plan": ["Count labels", "Apply tie-break"], "prompt": "Seven reviewers vote ['reject', 'reject', 'reject', 'accept', 'accept', 'defer', 'reject']. Majority (ties broken by accept>reject>defer). What is the outcome?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Counts {'accept': 2, 'reject': 4, 'defer': 1}; winner reject.", "strategy": ["Count labels", "Apply tie-break"], "task_type": "classification", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "reject", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "4", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-0-64-4-7-13-17-20-13-187758755799", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=64", "chunks=[7, 13, 17, 20, 13]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 64 tokens. Pack chunks [7, 13, 17, 20, 13] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 57 tokens and keeps 4 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-1-32-2-20-7-11-15-8-e5093fbcf592", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=32", "chunks=[20, 7, 11, 15, 8]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 32 tokens. Pack chunks [20, 7, 11, 15, 8] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 27 tokens and keeps 2 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-2-32-2-8-10-15-16-15-33923ce414ec", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=32", "chunks=[8, 10, 15, 16, 15]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 32 tokens. Pack chunks [8, 10, 15, 16, 15] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 18 tokens and keeps 2 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-3-64-4-17-11-12-15-14-39459a1b0162", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=64", "chunks=[17, 11, 12, 15, 14]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 64 tokens. Pack chunks [17, 11, 12, 15, 14] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 55 tokens and keeps 4 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-4-48-3-13-14-15-12-7-ce49304708c5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=48", "chunks=[13, 14, 15, 12, 7]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 48 tokens. Pack chunks [13, 14, 15, 12, 7] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 42 tokens and keeps 3 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-5-64-4-7-19-16-16-20-c0167e420e56", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=64", "chunks=[7, 19, 16, 16, 20]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 64 tokens. Pack chunks [7, 19, 16, 16, 20] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 58 tokens and keeps 4 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-6-64-4-17-19-9-12-13-ff19bda99035", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=64", "chunks=[17, 19, 9, 12, 13]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 64 tokens. Pack chunks [17, 19, 9, 12, 13] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 57 tokens and keeps 4 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-7-32-2-12-11-19-13-12-c0545cc75acd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=32", "chunks=[12, 11, 19, 13, 12]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 32 tokens. Pack chunks [12, 11, 19, 13, 12] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 23 tokens and keeps 2 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-8-48-4-17-7-11-12-11-7e0b19e9cfaf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=48", "chunks=[17, 7, 11, 12, 11]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 48 tokens. Pack chunks [17, 7, 11, 12, 11] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 47 tokens and keeps 4 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-9-64-4-10-11-8-16-20-e3cd6bcc7307", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=64", "chunks=[10, 11, 8, 16, 20]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 64 tokens. Pack chunks [10, 11, 8, 16, 20] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 45 tokens and keeps 4 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-10-48-5-7-7-19-7-7-52617f0a4d66", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=48", "chunks=[7, 7, 19, 7, 7]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 48 tokens. Pack chunks [7, 7, 19, 7, 7] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 47 tokens and keeps 5 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-11-48-3-7-17-17-11-18-f735a3ee0e55", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=48", "chunks=[7, 17, 17, 11, 18]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 48 tokens. Pack chunks [7, 17, 17, 11, 18] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 41 tokens and keeps 3 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-12-32-2-14-6-15-14-14-1d780c3a42e0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=32", "chunks=[14, 6, 15, 14, 14]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 32 tokens. Pack chunks [14, 6, 15, 14, 14] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 20 tokens and keeps 2 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-13-48-4-16-7-12-11-19-e062abfd037d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=48", "chunks=[16, 7, 12, 11, 19]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 48 tokens. Pack chunks [16, 7, 12, 11, 19] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 46 tokens and keeps 4 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-14-64-3-18-12-19-20-17-663e70c80c1f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=64", "chunks=[18, 12, 19, 20, 17]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 64 tokens. Pack chunks [18, 12, 19, 20, 17] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 49 tokens and keeps 3 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-15-32-2-10-15-10-11-7-b9bb93a32204", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=32", "chunks=[10, 15, 10, 11, 7]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 32 tokens. Pack chunks [10, 15, 10, 11, 7] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 25 tokens and keeps 2 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-16-64-5-14-9-8-16-13-765c8d75eadb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=64", "chunks=[14, 9, 8, 16, 13]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 64 tokens. Pack chunks [14, 9, 8, 16, 13] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 60 tokens and keeps 5 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": ["Each chunk is atomic"], "concept_id": "python.exceptions", "constraints": ["Preserve order", "No skipping in the middle"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-tok-17-32-2-19-7-11-19-14-2c7bd670ee5b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.775, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=32", "chunks=[19, 7, 11, 19, 14]"], "plan": ["Add chunks until the next would exceed budget"], "prompt": "A context window has 32 tokens. Pack chunks [19, 7, 11, 19, 14] in order, skipping none except by stopping when the next chunk would overflow. How many chunks are kept?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:14Z", "generator": "open_reason.generation.reasoning", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.reasoning", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Greedy prefix uses 26 tokens and keeps 2 chunks.", "strategy": ["Add chunks until the next would exceed budget"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "5", "assumptions": ["CPython / common SQL / git unless stated"], "concept_id": "python.collections", "constraints": ["Original wording", "Not a copied post"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-so-r-0-off-by-one-range-57527f732489", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 3.175}, "inspired_by": "stackoverflow", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": ["inspired_by=stackoverflow topic=off-by-one range", "verbatim=false"], "plan": ["Identify the common pitfall", "Answer the yes/no or count"], "prompt": "You need inclusive integers from 3 through 7. In Python, what is list(range(3, 8)) length?", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "range(start, stop) excludes stop; 3,4,5,6,7 → 5 values.", "strategy": ["Identify the common pitfall", "Answer the yes/no or count"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "no", "assumptions": ["CPython / common SQL / git unless stated"], "concept_id": "python.conditionals", "constraints": ["Original wording", "Not a copied post"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-so-r-1-timezone-naive-d08029591896", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.4749999999999996}, "inspired_by": "stackoverflow", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": ["inspired_by=stackoverflow topic=timezone naive", "verbatim=false"], "plan": ["Identify the common pitfall", "Answer the yes/no or count"], "prompt": "Two naive datetime values differ by 3600 seconds locally. Does that prove they are one UTC hour apart? Answer yes or no.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Naive datetimes have no zone; DST and offset make local deltas unreliable as UTC.", "strategy": ["Identify the common pitfall", "Answer the yes/no or count"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "no", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "no", "assumptions": ["CPython / common SQL / git unless stated"], "concept_id": "python.loops", "constraints": ["Original wording", "Not a copied post"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-so-r-2-json-vs-eval-969d9064d92e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 3.15}, "inspired_by": "stackoverflow", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": ["inspired_by=stackoverflow topic=json vs eval", "verbatim=false"], "plan": ["Identify the common pitfall", "Answer the yes/no or count"], "prompt": "Should untrusted text be turned into a Python object with eval? yes or no.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "eval executes code. Use json.loads for JSON payloads.", "strategy": ["Identify the common pitfall", "Answer the yes/no or count"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "no", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "no", "assumptions": ["CPython / common SQL / git unless stated"], "concept_id": "python.loops", "constraints": ["Original wording", "Not a copied post"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-so-r-3-floating-money-d466e0df1086", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.6, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 3.375}, "inspired_by": "stackoverflow", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": ["inspired_by=stackoverflow topic=floating money", "verbatim=false"], "plan": ["Identify the common pitfall", "Answer the yes/no or count"], "prompt": "Is binary float a safe ledger type for USD cents? yes or no.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Use integer cents or decimal. Decimal/float rounding is not cash-safe.", "strategy": ["Identify the common pitfall", "Answer the yes/no or count"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "no", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "no", "assumptions": ["CPython / common SQL / git unless stated"], "concept_id": "python.collections", "constraints": ["Original wording", "Not a copied post"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-so-r-4-hash-mutate-43f2bd811f67", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.3499999999999996}, "inspired_by": "stackoverflow", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": ["inspired_by=stackoverflow topic=hash mutate", "verbatim=false"], "plan": ["Identify the common pitfall", "Answer the yes/no or count"], "prompt": "A dict key is a list. After insertion you mutate the list. Is lookup by the new list guaranteed? yes or no.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Mutable keys are invalid; lists are unhashable. If a custom mutable key were used, mutation would break the table.", "strategy": ["Identify the common pitfall", "Answer the yes/no or count"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "no", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "no", "assumptions": ["CPython / common SQL / git unless stated"], "concept_id": "cs.recursion", "constraints": ["Original wording", "Not a copied post"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-so-r-5-gil-threads-fbf2f441f76c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.65, "tests": 0.0, "total": 3.4499999999999997}, "inspired_by": "stackoverflow", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": ["inspired_by=stackoverflow topic=gil threads", "verbatim=false"], "plan": ["Identify the common pitfall", "Answer the yes/no or count"], "prompt": "Two Python threads each run a tight CPU loop of bytecode. Will they typically use two cores at full speed under CPython's GIL? yes or no.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "CPython's GIL usually serializes bytecode execution on one core.", "strategy": ["Identify the common pitfall", "Answer the yes/no or count"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "no", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "no", "assumptions": ["CPython / common SQL / git unless stated"], "concept_id": "python.iterators", "constraints": ["Original wording", "Not a copied post"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-so-r-6-sql-null-e977ca1865c3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 3.0999999999999996}, "inspired_by": "stackoverflow", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": ["inspired_by=stackoverflow topic=sql null", "verbatim=false"], "plan": ["Identify the common pitfall", "Answer the yes/no or count"], "prompt": "In SQL, does `NULL = NULL` evaluate to TRUE? yes or no.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "NULL comparisons yield UNKNOWN; use IS NULL.", "strategy": ["Identify the common pitfall", "Answer the yes/no or count"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "no", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "no", "assumptions": ["CPython / common SQL / git unless stated"], "concept_id": "cs.git", "constraints": ["Original wording", "Not a copied post"], "context": {"reasoning_style": "structured_summary"}, "difficulty": "beginner", "domain": "reasoning", "education_level": null, "evidence": null, "id": "or-reasoning-reason-so-r-7-git-detached-6ebd76469fe0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.3499999999999996}, "inspired_by": "stackoverflow", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": ["inspired_by=stackoverflow topic=git detached", "verbatim=false"], "plan": ["Identify the common pitfall", "Answer the yes/no or count"], "prompt": "You checkout a raw commit SHA. Are new commits still on a named branch? yes or no.", "provenance": {"commit": null, "derived": true, "derived_from": null, "generated_at": null, "generator": "open_reason.generation.stackoverflow_seeds", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "stackoverflow", "source_id": "stackoverflow", "source_type": "community", "source_url": null, "source_version": null, "transformation": "original_rewrite_inspired_by_stackoverflow; verbatim=false", "trust_tier": "tier4_community", "unknown_reason": null}, "quality": {"evidence_confidence": 0.561, "notes": [], "score_components": {"authority_score": 0.35, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.55, "verification_score": 1.0}, "tier": "S", "verification_method": "constraint-check", "verified": true}, "runtime": null, "solution": "Detached HEAD: commits are not on a branch until you create/move one.", "strategy": ["Identify the common pitfall", "Answer the yes/no or count"], "task_type": "troubleshooting", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "constraint-check", "passed": true, "result": "no", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "46", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-22-1-2-8826b2009b40", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=22 m/s", "a=1 m/s2", "t=2 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 22 m/s and accelerates at 1 m/s2 for 2 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 22·2 + 0.5·1·22 = 46.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 46.0, "got": 46.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "46.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "88.5", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-25-3-3-35ee75c40c70", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=25 m/s", "a=3 m/s2", "t=3 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 25 m/s and accelerates at 3 m/s2 for 3 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 25·3 + 0.5·3·32 = 88.5.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 88.5, "got": 88.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "88.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "112", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-9-2-7-5a9509816764", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=9 m/s", "a=2 m/s2", "t=7 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 9 m/s and accelerates at 2 m/s2 for 7 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 9·7 + 0.5·2·72 = 112.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 112.0, "got": 112.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "112.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-14", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-5-2-7-c527a01dffff", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=5 m/s", "a=-2 m/s2", "t=7 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 5 m/s and accelerates at -2 m/s2 for 7 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 5·7 + 0.5·-2·72 = -14.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": -14.0, "got": -14.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "-14.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "132", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-19-1-6-278377b86fb1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=19 m/s", "a=1 m/s2", "t=6 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 19 m/s and accelerates at 1 m/s2 for 6 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 19·6 + 0.5·1·62 = 132.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 132.0, "got": 132.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "132.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "32", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-15-1-2-51e8b479d10e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=15 m/s", "a=1 m/s2", "t=2 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 15 m/s and accelerates at 1 m/s2 for 2 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 15·2 + 0.5·1·22 = 32.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 32.0, "got": 32.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "32.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "21", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-4-2-3-69a5f855c0be", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=4 m/s", "a=2 m/s2", "t=3 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 4 m/s and accelerates at 2 m/s2 for 3 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 4·3 + 0.5·2·32 = 21.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 21.0, "got": 21.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "21.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "34", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-18-1-2-aa2080a99e98", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=18 m/s", "a=-1 m/s2", "t=2 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 18 m/s and accelerates at -1 m/s2 for 2 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 18·2 + 0.5·-1·22 = 34.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 34.0, "got": 34.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "34.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "182", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-19-2-7-729ba542756f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=19 m/s", "a=2 m/s2", "t=7 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 19 m/s and accelerates at 2 m/s2 for 7 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 19·7 + 0.5·2·72 = 182.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 182.0, "got": 182.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "182.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "96", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-22-2-6-9776035b6e6b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=22 m/s", "a=-2 m/s2", "t=6 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 22 m/s and accelerates at -2 m/s2 for 6 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 22·6 + 0.5·-2·62 = 96.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 96.0, "got": 96.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "96.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "100", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-15-2-5-4af78e439a11", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=15 m/s", "a=2 m/s2", "t=5 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 15 m/s and accelerates at 2 m/s2 for 5 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 15·5 + 0.5·2·52 = 100.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 100.0, "got": 100.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "100.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "256", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-20-3-8-b86bc5584070", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=20 m/s", "a=3 m/s2", "t=8 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 20 m/s and accelerates at 3 m/s2 for 8 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 20·8 + 0.5·3·82 = 256.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 256.0, "got": 256.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "256.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "63", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-2-2-7-889879c8702d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=2 m/s", "a=2 m/s2", "t=7 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 2 m/s and accelerates at 2 m/s2 for 7 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 2·7 + 0.5·2·72 = 63.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 63.0, "got": 63.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "63.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "84", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-15-3-4-f3011a24efe5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=15 m/s", "a=3 m/s2", "t=4 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 15 m/s and accelerates at 3 m/s2 for 4 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 15·4 + 0.5·3·42 = 84.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 84.0, "got": 84.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "84.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "112", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-6-2-8-3558fb948509", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=6 m/s", "a=2 m/s2", "t=8 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 6 m/s and accelerates at 2 m/s2 for 8 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 6·8 + 0.5·2·82 = 112.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 112.0, "got": 112.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "112.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "26", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-12-1-2-40af031e6981", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=12 m/s", "a=1 m/s2", "t=2 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 12 m/s and accelerates at 1 m/s2 for 2 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 12·2 + 0.5·1·22 = 26.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 26.0, "got": 26.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "26.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "64", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-14-1-4-0e0f35b89e99", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=14 m/s", "a=1 m/s2", "t=4 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 14 m/s and accelerates at 1 m/s2 for 4 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 14·4 + 0.5·1·42 = 64.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 64.0, "got": 64.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "64.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "44", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-13-1-4-3044804ba056", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=13 m/s", "a=-1 m/s2", "t=4 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 13 m/s and accelerates at -1 m/s2 for 4 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 13·4 + 0.5·-1·42 = 44.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 44.0, "got": 44.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "44.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-10", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-3-2-5-f68acedfe995", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=3 m/s", "a=-2 m/s2", "t=5 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 3 m/s and accelerates at -2 m/s2 for 5 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 3·5 + 0.5·-2·52 = -10.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": -10.0, "got": -10.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "-10.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "107.5", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-19-1-5-dabd82ec0e33", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=19 m/s", "a=1 m/s2", "t=5 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 19 m/s and accelerates at 1 m/s2 for 5 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 19·5 + 0.5·1·52 = 107.5.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 107.5, "got": 107.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "107.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-4-1-4-2f408d0b51df", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=4 m/s", "a=-1 m/s2", "t=4 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 4 m/s and accelerates at -1 m/s2 for 4 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 4·4 + 0.5·-1·42 = 8.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 8.0, "got": 8.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "8.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "144", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-22-1-8-0836ba879caf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=22 m/s", "a=-1 m/s2", "t=8 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 22 m/s and accelerates at -1 m/s2 for 8 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 22·8 + 0.5·-1·82 = 144.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 144.0, "got": 144.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "144.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "34.5", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-13-1-3-a10f756e4c54", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=13 m/s", "a=-1 m/s2", "t=3 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 13 m/s and accelerates at -1 m/s2 for 3 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 13·3 + 0.5·-1·32 = 34.5.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 34.5, "got": 34.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "34.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "50", "assumptions": [], "concept_id": "python.loops", "constraints": ["Constant acceleration", "One-dimensional motion"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kin-24-1-2-3b96fab9b333", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["u=24 m/s", "a=1 m/s2", "t=2 s"], "plan": ["Apply s = ut + 1⁄2at2", "Substitute values"], "prompt": "An object starts at 24 m/s and accelerates at 1 m/s2 for 2 s. How far does it travel (metres)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "s = ut + 1⁄2at2 = 24·2 + 0.5·1·22 = 50.0.", "strategy": ["Apply s = ut + ½at²", "Substitute values"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 50.0, "got": 50.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "50.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2704", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-8-26-43b991cd7f9d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=8 kg", "v=26 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 8 kg mass moving at 26 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·8·262 = 2704.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2704.0, "got": 2704.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2704.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "80", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-10-4-c8a5a4f00c40", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=10 kg", "v=4 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 10 kg mass moving at 4 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·10·42 = 80.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 80.0, "got": 80.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "80.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3364", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-8-29-9b889f34d355", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=8 kg", "v=29 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 8 kg mass moving at 29 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·8·292 = 3364.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3364.0, "got": 3364.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3364.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "392", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-4-14-ed5018588a09", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=4 kg", "v=14 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 4 kg mass moving at 14 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·4·142 = 392.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 392.0, "got": 392.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "392.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1152", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-9-16-caad07c63b08", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=9 kg", "v=16 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 9 kg mass moving at 16 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·9·162 = 1152.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1152.0, "got": 1152.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1152.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "294", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-12-7-417337b289a8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=12 kg", "v=7 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 12 kg mass moving at 7 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·12·72 = 294.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 294.0, "got": 294.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "294.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1014", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-12-13-e704bb3aefd4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=12 kg", "v=13 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 12 kg mass moving at 13 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·12·132 = 1014.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1014.0, "got": 1014.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1014.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1851.5", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-7-23-abd9351e5860", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=7 kg", "v=23 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 7 kg mass moving at 23 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·7·232 = 1851.5.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1851.5, "got": 1851.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1851.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2592", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-9-24-86463ae495ea", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=9 kg", "v=24 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 9 kg mass moving at 24 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·9·242 = 2592.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2592.0, "got": 2592.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2592.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "661.5", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-3-21-b1ad383c6025", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=3 kg", "v=21 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 3 kg mass moving at 21 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·3·212 = 661.5.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 661.5, "got": 661.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "661.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1083", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-6-19-d575f74e72a6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=6 kg", "v=19 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 6 kg mass moving at 19 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·6·192 = 1083.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1083.0, "got": 1083.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1083.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "196", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-8-7-15617d218919", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=8 kg", "v=7 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 8 kg mass moving at 7 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·8·72 = 196.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 196.0, "got": 196.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "196.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1470", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-15-14-0ed82ec07c7c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=15 kg", "v=14 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 15 kg mass moving at 14 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·15·142 = 1470.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1470.0, "got": 1470.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1470.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2178", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-9-22-2ec6db5c25f7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=9 kg", "v=22 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 9 kg mass moving at 22 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·9·222 = 2178.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2178.0, "got": 2178.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2178.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "729", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-18-9-ee4d18c8ebed", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=18 kg", "v=9 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 18 kg mass moving at 9 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·18·92 = 729.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 729.0, "got": 729.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "729.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4312", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-11-28-87393bbd4d51", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=11 kg", "v=28 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 11 kg mass moving at 28 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·11·282 = 4312.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4312.0, "got": 4312.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4312.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "81", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-2-9-cb3e0083e5e7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=2 kg", "v=9 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 2 kg mass moving at 9 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·2·92 = 81.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 81.0, "got": 81.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "81.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "729", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-2-27-d82bfbb1d700", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=2 kg", "v=27 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 2 kg mass moving at 27 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·2·272 = 729.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 729.0, "got": 729.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "729.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1078", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-11-14-d8b94cbf024c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=11 kg", "v=14 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 11 kg mass moving at 14 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·11·142 = 1078.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1078.0, "got": 1078.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1078.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "72", "assumptions": [], "concept_id": "science.energy", "constraints": ["SI units", "Non-relativistic"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ke-9-4-44f7cfd84b4b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 2.9}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=9 kg", "v=4 m/s"], "plan": ["Use KE = 1⁄2mv2"], "prompt": "Compute the kinetic energy in joules of a 9 kg mass moving at 4 m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE = 1⁄2mv2 = 0.5·9·42 = 72.0.", "strategy": ["Use KE = ½mv²"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 72.0, "got": 72.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "72.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-1-20-b3fabdd14f8f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=1 A", "R=20 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 1 A flows through 20 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 1·20 = 20.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 20, "got": 20}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-2-8-e93f081fec2e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=2 A", "R=8 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 2 A flows through 8 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 2·8 = 16.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 16, "got": 16}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "16", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "102", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-6-17-63704f03550f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=6 A", "R=17 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 6 A flows through 17 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 6·17 = 102.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 102, "got": 102}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "102", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "55", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-2-5-22-77b1bcab5853", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=2.5 A", "R=22 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 2.5 A flows through 22 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 2.5·22 = 55.0.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 55.0, "got": 55.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "55.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "18", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-3-6-8f5d4c39ba1a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=3 A", "R=6 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 3 A flows through 6 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 3·6 = 18.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 18, "got": 18}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "18", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-1-5-6-ed239fa9729c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=1.5 A", "R=6 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 1.5 A flows through 6 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 1.5·6 = 9.0.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 9.0, "got": 9.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "9.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "25", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-1-25-4e7a00697bc9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=1 A", "R=25 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 1 A flows through 25 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 1·25 = 25.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 25, "got": 25}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "76", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-4-19-03935fcf4cca", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=4 A", "R=19 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 4 A flows through 19 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 4·19 = 76.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 76, "got": 76}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "76", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "37.5", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-1-5-25-fe42b05612e0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=1.5 A", "R=25 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 1.5 A flows through 25 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 1.5·25 = 37.5.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 37.5, "got": 37.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "37.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "75", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-5-15-8186217aab76", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=5 A", "R=15 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 5 A flows through 15 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 5·15 = 75.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 75, "got": 75}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "75", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "70", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-5-14-f96a8ffc0c7b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=5 A", "R=14 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 5 A flows through 14 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 5·14 = 70.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 70, "got": 70}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "70", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "18", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-2-9-d5c86a1fc356", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=2 A", "R=9 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 2 A flows through 9 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 2·9 = 18.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 18, "got": 18}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "18", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "13.5", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-0-75-18-24fa822d3f28", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=0.75 A", "R=18 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 0.75 A flows through 18 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 0.75·18 = 13.5.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 13.5, "got": 13.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "13.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-3-4-a78292a9d634", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=3 A", "R=4 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 3 A flows through 4 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 3·4 = 12.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 12, "got": 12}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.25", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-0-25-5-adbd5babd4db", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=0.25 A", "R=5 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 0.25 A flows through 5 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 0.25·5 = 1.25.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.25, "got": 1.25}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16.5", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-0-75-22-4d2bc26545e8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=0.75 A", "R=22 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 0.75 A flows through 22 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 0.75·22 = 16.5.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 16.5, "got": 16.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "16.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "17.25", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-0-75-23-cbd32334df41", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=0.75 A", "R=23 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 0.75 A flows through 23 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 0.75·23 = 17.25.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 17.25, "got": 17.25}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "17.25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "52.5", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Ohmic resistor", "DC"], "context": {"field": "engineering", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ohm-2-5-21-0eb5c0ff0e85", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.8}, "field": "engineering", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["I=2.5 A", "R=21 Ω"], "plan": ["Apply Ohm's law"], "prompt": "A current of 2.5 A flows through 21 Ω. What is the voltage drop in volts?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V = IR = 2.5·21 = 52.5.", "strategy": ["Apply Ohm's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 52.5, "got": 52.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "52.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "270", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density"], "context": {"field": "earth_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-2700-0-1-c7df099f4733", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.2249999999999996}, "field": "earth_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["ρ=2700 kg/m3", "V=0.1 m3"], "plan": ["Use m = ρV"], "prompt": "A sample has density 2700 kg/m3 and volume 0.1 m3. What is its mass in kg?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "m = ρV = 2700·0.1 = 270.0.", "strategy": ["Use m = ρV"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 270.0, "got": 270.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "270.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1930", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density"], "context": {"field": "earth_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-19300-0-1-48f48a0dd416", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.2249999999999996}, "field": "earth_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["ρ=19300 kg/m3", "V=0.1 m3"], "plan": ["Use m = ρV"], "prompt": "A sample has density 19300 kg/m3 and volume 0.1 m3. What is its mass in kg?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "m = ρV = 19300·0.1 = 1930.0.", "strategy": ["Use m = ρV"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1930.0, "got": 1930.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1930.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density"], "context": {"field": "earth_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-1000-0-01-4df97098cc91", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.2249999999999996}, "field": "earth_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["ρ=1000 kg/m3", "V=0.01 m3"], "plan": ["Use m = ρV"], "prompt": "A sample has density 1000 kg/m3 and volume 0.01 m3. What is its mass in kg?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "m = ρV = 1000·0.01 = 10.0.", "strategy": ["Use m = ρV"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 10.0, "got": 10.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "10.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "135", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density"], "context": {"field": "earth_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-2700-0-05-e7e2bd03e038", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.2249999999999996}, "field": "earth_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["ρ=2700 kg/m3", "V=0.05 m3"], "plan": ["Use m = ρV"], "prompt": "A sample has density 2700 kg/m3 and volume 0.05 m3. What is its mass in kg?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "m = ρV = 2700·0.05 = 135.0.", "strategy": ["Use m = ρV"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 135.0, "got": 135.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "135.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "100", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density"], "context": {"field": "earth_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-1000-0-1-17a9b67b0b10", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.2249999999999996}, "field": "earth_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["ρ=1000 kg/m3", "V=0.1 m3"], "plan": ["Use m = ρV"], "prompt": "A sample has density 1000 kg/m3 and volume 0.1 m3. What is its mass in kg?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "m = ρV = 1000·0.1 = 100.0.", "strategy": ["Use m = ρV"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 100.0, "got": 100.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "100.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "780", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density"], "context": {"field": "earth_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-7800-0-1-27e7f2c7fee0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.2249999999999996}, "field": "earth_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["ρ=7800 kg/m3", "V=0.1 m3"], "plan": ["Use m = ρV"], "prompt": "A sample has density 7800 kg/m3 and volume 0.1 m3. What is its mass in kg?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "m = ρV = 7800·0.1 = 780.0.", "strategy": ["Use m = ρV"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 780.0, "got": 780.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "780.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "78", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density"], "context": {"field": "earth_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-7800-0-01-af188298b38e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.2249999999999996}, "field": "earth_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["ρ=7800 kg/m3", "V=0.01 m3"], "plan": ["Use m = ρV"], "prompt": "A sample has density 7800 kg/m3 and volume 0.01 m3. What is its mass in kg?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "m = ρV = 7800·0.01 = 78.0.", "strategy": ["Use m = ρV"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 78.0, "got": 78.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "78.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density"], "context": {"field": "earth_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-1000-0-02-2a344bbc8538", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.2249999999999996}, "field": "earth_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["ρ=1000 kg/m3", "V=0.02 m3"], "plan": ["Use m = ρV"], "prompt": "A sample has density 1000 kg/m3 and volume 0.02 m3. What is its mass in kg?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "m = ρV = 1000·0.02 = 20.0.", "strategy": ["Use m = ρV"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 20.0, "got": 20.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "390", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density"], "context": {"field": "earth_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-7800-0-05-5976a859c6bb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.2249999999999996}, "field": "earth_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["ρ=7800 kg/m3", "V=0.05 m3"], "plan": ["Use m = ρV"], "prompt": "A sample has density 7800 kg/m3 and volume 0.05 m3. What is its mass in kg?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "m = ρV = 7800·0.05 = 390.0.", "strategy": ["Use m = ρV"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 390.0, "got": 390.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "390.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "27", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density"], "context": {"field": "earth_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-2700-0-01-faefb5684634", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.2249999999999996}, "field": "earth_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["ρ=2700 kg/m3", "V=0.01 m3"], "plan": ["Use m = ρV"], "prompt": "A sample has density 2700 kg/m3 and volume 0.01 m3. What is its mass in kg?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "m = ρV = 2700·0.01 = 27.0.", "strategy": ["Use m = ρV"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 27.0, "got": 27.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "27.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "515468", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-2-0-310-0-01-60ccf7dcbf1b", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=2.0 mol", "T=310 K", "V=0.01 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=2 mol, T=310 K, V=0.01 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 2.0·8.314·310/0.01 = 515468.0.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 515468.0, "got": 515468.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "515468.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "49551.44", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-1-0-298-0-05-82c3c191b5c4", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=1.0 mol", "T=298 K", "V=0.05 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=1 mol, T=298 K, V=0.05 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 1.0·8.314·298/0.05 = 49551.44.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 49551.44, "got": 49551.44}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "49551.44", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "45394.44", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-1-0-273-0-05-e3cc942ab56c", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=1.0 mol", "T=273 K", "V=0.05 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=1 mol, T=273 K, V=0.05 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 1.0·8.314·273/0.05 = 45394.44.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 45394.44, "got": 45394.44}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "45394.44", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "90788.88", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-2-0-273-0-05-517edcb10725", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=2.0 mol", "T=273 K", "V=0.05 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=2 mol, T=273 K, V=0.05 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 2.0·8.314·273/0.05 = 90788.88.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 90788.88, "got": 90788.88}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "90788.88", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "247757.2", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-2-0-298-0-02-1d2ee791776f", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=2.0 mol", "T=298 K", "V=0.02 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=2 mol, T=298 K, V=0.02 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 2.0·8.314·298/0.02 = 247757.2.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 247757.2, "got": 247757.2}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "247757.2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "145495", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-0-5-350-0-01-6e2d73a8f581", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=0.5 mol", "T=350 K", "V=0.01 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=0.5 mol, T=350 K, V=0.01 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 0.5·8.314·350/0.01 = 145495.0.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 145495.0, "got": 145495.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "145495.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "24775.72", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-0-5-298-0-05-000ca4655398", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=0.5 mol", "T=298 K", "V=0.05 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=0.5 mol, T=298 K, V=0.05 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 0.5·8.314·298/0.05 = 24775.72.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 24775.72, "got": 24775.72}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "24775.72", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "116396", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-2-0-350-0-05-c42a8f7d8167", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=2.0 mol", "T=350 K", "V=0.05 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=2 mol, T=350 K, V=0.05 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 2.0·8.314·350/0.05 = 116396.0.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 116396.0, "got": 116396.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "116396.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "64433.5", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-0-5-310-0-02-183de50a8e5b", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=0.5 mol", "T=310 K", "V=0.02 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=0.5 mol, T=310 K, V=0.02 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 0.5·8.314·310/0.02 = 64433.5.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 64433.5, "got": 64433.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "64433.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "247757.2", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-1-0-298-0-01-08d728af6f84", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=1.0 mol", "T=298 K", "V=0.01 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=1 mol, T=298 K, V=0.01 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 1.0·8.314·298/0.01 = 247757.2.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 247757.2, "got": 247757.2}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "247757.2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "226972.2", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-1-0-273-0-01-716f63a008b0", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=1.0 mol", "T=273 K", "V=0.01 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=1 mol, T=273 K, V=0.01 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 1.0·8.314·273/0.01 = 226972.2.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 226972.2, "got": 226972.2}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "226972.2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "113486.1", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-0-5-273-0-01-20796fcf1913", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.8999999999999995}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=0.5 mol", "T=273 K", "V=0.01 m3"], "plan": ["Apply PV = nRT", "Solve for P"], "prompt": "An ideal gas has n=0.5 mol, T=273 K, V=0.01 m3. Using R=8.314 J/(mol·K), compute P in pascals.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 0.5·8.314·273/0.01 = 113486.1.", "strategy": ["Apply PV = nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 113486.1, "got": 113486.1}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "113486.1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "17.87202381", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Oxygen in excess", "Given molar masses"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stoich-2-0-2114b49fe1e2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 4.45}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m(H2)=2.0 g", "stoichiometry 2:2 for H2:H2O"], "plan": ["Convert to moles", "Apply mole ratio", "Convert to grams"], "prompt": "For 2 H2 + O2 → 2 H2O, how many grams of water form from 2 g of H2 if oxygen is in excess? Use M(H2)=2.016 g/mol and M(H2O)=18.015 g/mol.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "mol H2 = 2.0/2.016 = 0.9920634920634921. mol H2O = mol H2 = 0.9920634920634921. mass = 0.9920634920634921·18.015 = 17.87202380952381.", "strategy": ["Convert to moles", "Apply mole ratio", "Convert to grams"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 17.87202380952381, "got": 17.87202380952381}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "17.87202380952381", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "53.61607143", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Oxygen in excess", "Given molar masses"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stoich-6-0-685df964557d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 4.45}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m(H2)=6.0 g", "stoichiometry 2:2 for H2:H2O"], "plan": ["Convert to moles", "Apply mole ratio", "Convert to grams"], "prompt": "For 2 H2 + O2 → 2 H2O, how many grams of water form from 6 g of H2 if oxygen is in excess? Use M(H2)=2.016 g/mol and M(H2O)=18.015 g/mol.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "mol H2 = 6.0/2.016 = 2.9761904761904763. mol H2O = mol H2 = 2.9761904761904763. mass = 2.9761904761904763·18.015 = 53.61607142857143.", "strategy": ["Convert to moles", "Apply mole ratio", "Convert to grams"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 53.61607142857143, "got": 53.61607142857143}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "53.61607142857143", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "35.74404762", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Oxygen in excess", "Given molar masses"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stoich-4-0-a61b34fb31e4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 4.45}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m(H2)=4.0 g", "stoichiometry 2:2 for H2:H2O"], "plan": ["Convert to moles", "Apply mole ratio", "Convert to grams"], "prompt": "For 2 H2 + O2 → 2 H2O, how many grams of water form from 4 g of H2 if oxygen is in excess? Use M(H2)=2.016 g/mol and M(H2O)=18.015 g/mol.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "mol H2 = 4.0/2.016 = 1.9841269841269842. mol H2O = mol H2 = 1.9841269841269842. mass = 1.9841269841269842·18.015 = 35.74404761904762.", "strategy": ["Convert to moles", "Apply mole ratio", "Convert to grams"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 35.74404761904762, "got": 35.74404761904762}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "35.74404761904762", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "71.48809524", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Oxygen in excess", "Given molar masses"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stoich-8-0-08049c7192f6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 4.45}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m(H2)=8.0 g", "stoichiometry 2:2 for H2:H2O"], "plan": ["Convert to moles", "Apply mole ratio", "Convert to grams"], "prompt": "For 2 H2 + O2 → 2 H2O, how many grams of water form from 8 g of H2 if oxygen is in excess? Use M(H2)=2.016 g/mol and M(H2O)=18.015 g/mol.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "mol H2 = 8.0/2.016 = 3.9682539682539684. mol H2O = mol H2 = 3.9682539682539684. mass = 3.9682539682539684·18.015 = 71.48809523809524.", "strategy": ["Convert to moles", "Apply mole ratio", "Convert to grams"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 71.48809523809524, "got": 71.48809523809524}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "71.48809523809524", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": null, "constraints": ["25 °C", "ideal dilute solution", "complete dissociation"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ph-0-0001-e7bb27491a7f", "metadata": {"difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 3.7999999999999994}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["[H+]=0.0001 mol/L"], "plan": ["Apply pH = -log10[H+]"], "prompt": "A strong acid is fully dissociated at [0.0001 ] mol/L H+. What is the pH?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "pH = -log10[H+] = -log10(0.0001) = 4.0.", "strategy": ["Apply pH = -log10[H+]"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": null, "constraints": ["25 °C", "ideal dilute solution", "complete dissociation"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ph-0-01-6d5621ce0db0", "metadata": {"difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 3.7999999999999994}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["[H+]=0.01 mol/L"], "plan": ["Apply pH = -log10[H+]"], "prompt": "A strong acid is fully dissociated at [0.01 ] mol/L H+. What is the pH?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "pH = -log10[H+] = -log10(0.01) = 2.0.", "strategy": ["Apply pH = -log10[H+]"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0, "got": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": null, "constraints": ["25 °C", "ideal dilute solution", "complete dissociation"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ph-0-1-da9cdba99ebb", "metadata": {"difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 3.7999999999999994}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["[H+]=0.1 mol/L"], "plan": ["Apply pH = -log10[H+]"], "prompt": "A strong acid is fully dissociated at [0.1 ] mol/L H+. What is the pH?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "pH = -log10[H+] = -log10(0.1) = 1.0.", "strategy": ["Apply pH = -log10[H+]"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.0, "got": 1.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": null, "constraints": ["25 °C", "ideal dilute solution", "complete dissociation"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ph-0-001-6e2fe9e773d3", "metadata": {"difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 3.7999999999999994}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["[H+]=0.001 mol/L"], "plan": ["Apply pH = -log10[H+]"], "prompt": "A strong acid is fully dissociated at [0.001 ] mol/L H+. What is the pH?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "pH = -log10[H+] = -log10(0.001) = 3.0.", "strategy": ["Apply pH = -log10[H+]"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.0, "got": 3.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3870", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-2-0-387-5-38287a97ad23", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=2.0 kg", "c=387 J/(kg·K)", "ΔT=5 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 2 kg of a material with c=387 J/(kg·K) through ΔT=5 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 2.0·387·5 = 3870.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3870.0, "got": 3870.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3870.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16736", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-0-2-4184-20-2dd6070dce97", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=0.2 kg", "c=4184 J/(kg·K)", "ΔT=20 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 0.2 kg of a material with c=4184 J/(kg·K) through ΔT=20 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 0.2·4184·20 = 16736.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 16736.0, "got": 16736.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "16736.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "41840", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-1-0-4184-10-3140558d068b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=1.0 kg", "c=4184 J/(kg·K)", "ΔT=10 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 1 kg of a material with c=4184 J/(kg·K) through ΔT=10 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 1.0·4184·10 = 41840.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 41840.0, "got": 41840.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "41840.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "52300", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-0-5-4184-25-dc86a9ec012d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=0.5 kg", "c=4184 J/(kg·K)", "ΔT=25 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 0.5 kg of a material with c=4184 J/(kg·K) through ΔT=25 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 0.5·4184·25 = 52300.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 52300.0, "got": 52300.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "52300.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "167360", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-2-0-4184-20-f16def49a599", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=2.0 kg", "c=4184 J/(kg·K)", "ΔT=20 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 2 kg of a material with c=4184 J/(kg·K) through ΔT=20 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 2.0·4184·20 = 167360.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 167360.0, "got": 167360.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "167360.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9000", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-0-5-900-20-37d7b376d1a7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=0.5 kg", "c=900 J/(kg·K)", "ΔT=20 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 0.5 kg of a material with c=900 J/(kg·K) through ΔT=20 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 0.5·900·20 = 9000.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 9000.0, "got": 9000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "9000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "41840", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-0-5-4184-20-9beec74bbe79", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=0.5 kg", "c=4184 J/(kg·K)", "ΔT=20 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 0.5 kg of a material with c=4184 J/(kg·K) through ΔT=20 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 0.5·4184·20 = 41840.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 41840.0, "got": 41840.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "41840.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20920", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-0-2-4184-25-66452d514292", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=0.2 kg", "c=4184 J/(kg·K)", "ΔT=25 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 0.2 kg of a material with c=4184 J/(kg·K) through ΔT=25 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 0.2·4184·25 = 20920.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 20920.0, "got": 20920.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20920.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8368", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-0-2-4184-10-924b2001269c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=0.2 kg", "c=4184 J/(kg·K)", "ΔT=10 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 0.2 kg of a material with c=4184 J/(kg·K) through ΔT=10 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 0.2·4184·10 = 8368.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 8368.0, "got": 8368.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "8368.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2700", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-0-2-900-15-4d4f54cbb318", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=0.2 kg", "c=900 J/(kg·K)", "ΔT=15 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 0.2 kg of a material with c=900 J/(kg·K) through ΔT=15 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 0.2·900·15 = 2700.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2700.0, "got": 2700.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2700.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "36000", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-2-0-900-20-e60bdcefe81b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=2.0 kg", "c=900 J/(kg·K)", "ΔT=20 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 2 kg of a material with c=900 J/(kg·K) through ΔT=20 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 2.0·900·20 = 36000.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 36000.0, "got": 36000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "36000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "83680", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-2-0-4184-10-24cbf8d18e24", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=2.0 kg", "c=4184 J/(kg·K)", "ΔT=10 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 2 kg of a material with c=4184 J/(kg·K) through ΔT=10 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 2.0·4184·10 = 83680.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 83680.0, "got": 83680.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "83680.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20920", "assumptions": [], "concept_id": "science.energy", "constraints": ["No phase change", "Constant c"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-heat-1-0-4184-5-5dca2b92bdd1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.275}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=1.0 kg", "c=4184 J/(kg·K)", "ΔT=5 K"], "plan": ["Apply Q = mcΔT"], "prompt": "Heat 1 kg of a material with c=4184 J/(kg·K) through ΔT=5 K. What energy in joules is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q = mcΔT = 1.0·4184·5 = 20920.0.", "strategy": ["Apply Q = mcΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 20920.0, "got": 20920.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20920.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.125", "assumptions": [], "concept_id": "science.waves", "constraints": ["Linear medium", "v = fλ"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-wave-300000000-0-2400000000-0-b61f2ca4a9cd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["v=300000000.0 m/s", "f=2400000000.0 Hz"], "plan": ["Apply λ = v/f"], "prompt": "A wave travels at 3e+08 m/s with frequency 2.4e+09 Hz. What is its wavelength in metres?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "λ = v/f = 300000000.0/2400000000.0 = 0.125.", "strategy": ["Apply λ = v/f"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.125, "got": 0.125}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.125", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.416666667e-07", "assumptions": [], "concept_id": "science.waves", "constraints": ["Linear medium", "v = fλ"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-wave-340-2400000000-0-b8f202cac68e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.55}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["v=340 m/s", "f=2400000000.0 Hz"], "plan": ["Apply λ = v/f"], "prompt": "A wave travels at 340 m/s with frequency 2.4e+09 Hz. What is its wavelength in metres?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "λ = v/f = 340/2400000000.0 = 1.4166666666666668e-07.", "strategy": ["Apply λ = v/f"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.4166666666666668e-07, "got": 1.4166666666666668e-07}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.4166666666666668e-07", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.6640625", "assumptions": [], "concept_id": "science.waves", "constraints": ["Linear medium", "v = fλ"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-wave-340-512-f3a2da0c40bd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.175}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["v=340 m/s", "f=512 Hz"], "plan": ["Apply λ = v/f"], "prompt": "A wave travels at 340 m/s with frequency 512 Hz. What is its wavelength in metres?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "λ = v/f = 340/512 = 0.6640625.", "strategy": ["Apply λ = v/f"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.6640625, "got": 0.6640625}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.6640625", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1171875", "assumptions": [], "concept_id": "science.waves", "constraints": ["Linear medium", "v = fλ"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-wave-300000000-0-256-f4655d52f0c2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.3}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["v=300000000.0 m/s", "f=256 Hz"], "plan": ["Apply λ = v/f"], "prompt": "A wave travels at 3e+08 m/s with frequency 256 Hz. What is its wavelength in metres?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "λ = v/f = 300000000.0/256 = 1171875.0.", "strategy": ["Apply λ = v/f"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1171875.0, "got": 1171875.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1171875.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "300000", "assumptions": [], "concept_id": "science.waves", "constraints": ["Linear medium", "v = fλ"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-wave-300000000-0-1000-3611e0cb1eec", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.3}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["v=300000000.0 m/s", "f=1000 Hz"], "plan": ["Apply λ = v/f"], "prompt": "A wave travels at 3e+08 m/s with frequency 1000 Hz. What is its wavelength in metres?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "λ = v/f = 300000000.0/1000 = 300000.0.", "strategy": ["Apply λ = v/f"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 300000.0, "got": 300000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "300000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.328125", "assumptions": [], "concept_id": "science.waves", "constraints": ["Linear medium", "v = fλ"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-wave-340-256-f17c8fee2190", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.175}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["v=340 m/s", "f=256 Hz"], "plan": ["Apply λ = v/f"], "prompt": "A wave travels at 340 m/s with frequency 256 Hz. What is its wavelength in metres?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "λ = v/f = 340/256 = 1.328125.", "strategy": ["Apply λ = v/f"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.328125, "got": 1.328125}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.328125", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3.409090909", "assumptions": [], "concept_id": "science.waves", "constraints": ["Linear medium", "v = fλ"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-wave-1500-440-268ad4256aa0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.175}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["v=1500 m/s", "f=440 Hz"], "plan": ["Apply λ = v/f"], "prompt": "A wave travels at 1500 m/s with frequency 440 Hz. What is its wavelength in metres?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "λ = v/f = 1500/440 = 3.409090909090909.", "strategy": ["Apply λ = v/f"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.409090909090909, "got": 3.409090909090909}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.409090909090909", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "681818.1818", "assumptions": [], "concept_id": "science.waves", "constraints": ["Linear medium", "v = fλ"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-wave-300000000-0-440-8ce6dea1d537", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.3}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["v=300000000.0 m/s", "f=440 Hz"], "plan": ["Apply λ = v/f"], "prompt": "A wave travels at 3e+08 m/s with frequency 440 Hz. What is its wavelength in metres?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "λ = v/f = 300000000.0/440 = 681818.1818181818.", "strategy": ["Apply λ = v/f"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 681818.1818181818, "got": 681818.1818181818}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "681818.1818181818", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.75", "assumptions": [], "concept_id": "science.genetics", "constraints": ["Mendelian independent segregation", "Complete dominance"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-punnett-0-0-3e25de21a9e8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 0.8, "prompt_length": 0.525, "tests": 0.0, "total": 3.15}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Parents both Aa"], "plan": ["Write the Punnett square", "Count the requested class"], "prompt": "In a monohybrid Aa × Aa cross with complete dominance, what fraction of offspring are expected to show the dominant phenotype?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Genotypes: 1 AA : 2 Aa : 1 aa. Dominant phenotype = 3/4.", "strategy": ["Write the Punnett square", "Count the requested class"], "task_type": "interpretation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.75, "got": 0.75}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.75", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.5", "assumptions": [], "concept_id": "math.arithmetic", "constraints": ["Mendelian independent segregation", "Complete dominance"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-punnett-1-1-292890579fea", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 3.075}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Parents both Aa"], "plan": ["Write the Punnett square", "Count the requested class"], "prompt": "In a monohybrid Aa × Aa cross, what fraction of offspring are heterozygous?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Punnett square: AA, Aa, aA, aa. Heterozygotes = 2/4 = 1/2.", "strategy": ["Write the Punnett square", "Count the requested class"], "task_type": "interpretation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.5, "got": 0.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "200", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-1600-5-15-f3be9b9218ed", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=1600", "T1⁄2=5 yr", "t=15 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 1600 nuclei has half-life 5 years. How many remain after 15 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 1600 · 0.5^(15/5) = 200.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 200.0, "got": 200.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "200.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "500", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-1000-4-4-c2e3db0a0d19", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=1000", "T1⁄2=4 yr", "t=4 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 1000 nuclei has half-life 4 years. How many remain after 4 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 1000 · 0.5^(4/4) = 500.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 500.0, "got": 500.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "500.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "400", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-1600-5-10-d8a841ae5449", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=1600", "T1⁄2=5 yr", "t=10 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 1600 nuclei has half-life 5 years. How many remain after 10 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 1600 · 0.5^(10/5) = 400.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 400.0, "got": 400.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "400.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "200", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-800-4-8-806d3146bd19", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=800", "T1⁄2=4 yr", "t=8 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 800 nuclei has half-life 4 years. How many remain after 8 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 800 · 0.5^(8/4) = 200.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 200.0, "got": 200.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "200.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "100", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-800-5-15-9b0fa1432610", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=800", "T1⁄2=5 yr", "t=15 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 800 nuclei has half-life 5 years. How many remain after 15 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 800 · 0.5^(15/5) = 100.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 100.0, "got": 100.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "100.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "250", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-1000-4-8-62a972c6b835", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=1000", "T1⁄2=4 yr", "t=8 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 1000 nuclei has half-life 4 years. How many remain after 8 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 1000 · 0.5^(8/4) = 250.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 250.0, "got": 250.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "250.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "200", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-800-2-4-12f295a21455", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=800", "T1⁄2=2 yr", "t=4 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 800 nuclei has half-life 2 years. How many remain after 4 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 800 · 0.5^(4/2) = 200.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 200.0, "got": 200.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "200.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "800", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-1600-5-5-b1e23af61513", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=1600", "T1⁄2=5 yr", "t=5 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 1600 nuclei has half-life 5 years. How many remain after 5 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 1600 · 0.5^(5/5) = 800.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 800.0, "got": 800.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "800.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "400", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-800-5-5-576a77b85d5e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=800", "T1⁄2=5 yr", "t=5 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 800 nuclei has half-life 5 years. How many remain after 5 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 800 · 0.5^(5/5) = 400.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 400.0, "got": 400.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "400.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "800", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-1600-4-4-92182f29dbee", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=1600", "T1⁄2=4 yr", "t=4 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 1600 nuclei has half-life 4 years. How many remain after 4 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 1600 · 0.5^(4/4) = 800.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 800.0, "got": 800.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "800.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "500", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-1000-2-2-9c5339b0d212", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=1000", "T1⁄2=2 yr", "t=2 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 1000 nuclei has half-life 2 years. How many remain after 2 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 1000 · 0.5^(2/2) = 500.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 500.0, "got": 500.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "500.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "125", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exponential decay", "No production term"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-1000-5-15-c85b34bf367d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 4.225}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=1000", "T1⁄2=5 yr", "t=15 yr"], "plan": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "prompt": "A sample of 1000 nuclei has half-life 5 years. How many remain after 15 years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 · (1/2)^(t/T) = 1000 · 0.5^(15/5) = 125.0.", "strategy": ["Compute the number of half-lives", "Multiply by 1/2 each time"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 125.0, "got": 125.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "125.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.2407500841", "assumptions": [], "concept_id": "science.waves", "constraints": ["Sun-dominated two-body problem", "T in years, a in AU"], "context": {"field": "astronomy", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kepler-0-387-62ee168c1322", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 3.175}, "field": "astronomy", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["a=0.387 AU"], "plan": ["Apply T = a^(3/2)"], "prompt": "Using Kepler's third law in AU and years (T2 = a3), estimate the orbital period of a planet with semi-major axis 0.387 AU.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "T = a^(3/2) = 0.387^1.5 = 0.24075008411213486 years.", "strategy": ["Apply T = a^(3/2)"], "task_type": "modeling", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.24075008411213486, "got": 0.24075008411213486}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.24075008411213486", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.881384018", "assumptions": [], "concept_id": "science.waves", "constraints": ["Sun-dominated two-body problem", "T in years, a in AU"], "context": {"field": "astronomy", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kepler-1-524-c0317de241a2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 3.175}, "field": "astronomy", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["a=1.524 AU"], "plan": ["Apply T = a^(3/2)"], "prompt": "Using Kepler's third law in AU and years (T2 = a3), estimate the orbital period of a planet with semi-major axis 1.524 AU.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "T = a^(3/2) = 1.524^1.5 = 1.8813840182163768 years.", "strategy": ["Apply T = a^(3/2)"], "task_type": "modeling", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.8813840182163768, "got": 1.8813840182163768}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.8813840182163768", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.6147626103", "assumptions": [], "concept_id": "science.waves", "constraints": ["Sun-dominated two-body problem", "T in years, a in AU"], "context": {"field": "astronomy", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kepler-0-723-1c14c766dfac", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 3.175}, "field": "astronomy", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["a=0.723 AU"], "plan": ["Apply T = a^(3/2)"], "prompt": "Using Kepler's third law in AU and years (T2 = a3), estimate the orbital period of a planet with semi-major axis 0.723 AU.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "T = a^(3/2) = 0.723^1.5 = 0.6147626102813996 years.", "strategy": ["Apply T = a^(3/2)"], "task_type": "modeling", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.6147626102813996, "got": 0.6147626102813996}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.6147626102813996", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.4", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-2-0-0-05-0-25-ed7553b3080b", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=2.0", "V1=0.05 L", "V2=0.25 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.05 L of a 2 M stock to 0.25 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 2.0·0.05/0.25 = 0.4.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.4, "got": 0.4}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.2", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-2-0-0-05-0-5-0979d657e15a", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=2.0", "V1=0.05 L", "V2=0.5 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.05 L of a 2 M stock to 0.5 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 2.0·0.05/0.5 = 0.2.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.2, "got": 0.2}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.2", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-6-0-0-05-0-25-df6522f6db1a", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=6.0", "V1=0.05 L", "V2=0.25 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.05 L of a 6 M stock to 0.25 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 6.0·0.05/0.25 = 1.2000000000000002.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.2000000000000002, "got": 1.2000000000000002}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.2000000000000002", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.6", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-6-0-0-01-0-1-057841430009", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=6.0", "V1=0.01 L", "V2=0.1 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.01 L of a 6 M stock to 0.1 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 6.0·0.01/0.1 = 0.6.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.6, "got": 0.6}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-12-0-0-025-0-1-f47ea48baac5", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=12.0", "V1=0.025 L", "V2=0.1 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.025 L of a 12 M stock to 0.1 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 12.0·0.025/0.1 = 3.0000000000000004.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.0000000000000004, "got": 3.0000000000000004}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.0000000000000004", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.25", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-1-0-0-025-0-1-2cbfa6a947cc", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=1.0", "V1=0.025 L", "V2=0.1 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.025 L of a 1 M stock to 0.1 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 1.0·0.025/0.1 = 0.25.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.25, "got": 0.25}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.12", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-6-0-0-01-0-5-e37eab2479cf", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=6.0", "V1=0.01 L", "V2=0.5 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.01 L of a 6 M stock to 0.5 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 6.0·0.01/0.5 = 0.12.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.12, "got": 0.12}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.2", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-12-0-0-05-0-5-349633a66ce7", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=12.0", "V1=0.05 L", "V2=0.5 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.05 L of a 12 M stock to 0.5 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 12.0·0.05/0.5 = 1.2000000000000002.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.2000000000000002, "got": 1.2000000000000002}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.2000000000000002", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-12-0-0-05-0-1-4b51dbb439d1", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=12.0", "V1=0.05 L", "V2=0.1 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.05 L of a 12 M stock to 0.1 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 12.0·0.05/0.1 = 6.000000000000001.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 6.000000000000001, "got": 6.000000000000001}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "6.000000000000001", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.02", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-1-0-0-01-0-5-f15b86b9ff3d", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=1.0", "V1=0.01 L", "V2=0.5 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.01 L of a 1 M stock to 0.5 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 1.0·0.01/0.5 = 0.02.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.02, "got": 0.02}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.02", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-2-0-0-05-0-1-3123cb8cae3e", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=2.0", "V1=0.05 L", "V2=0.1 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.05 L of a 2 M stock to 0.1 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 2.0·0.05/0.1 = 1.0.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.0, "got": 1.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.6", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-6-0-0-05-0-5-bc8dc3873b16", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=6.0", "V1=0.05 L", "V2=0.5 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.05 L of a 6 M stock to 0.5 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 6.0·0.05/0.5 = 0.6000000000000001.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.6000000000000001, "got": 0.6000000000000001}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.6000000000000001", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.5", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-2-0-0-025-0-1-ff2fd5c01e66", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=2.0", "V1=0.025 L", "V2=0.1 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.025 L of a 2 M stock to 0.1 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 2.0·0.025/0.1 = 0.5.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.5, "got": 0.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.1", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as stated"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-1-0-0-025-0-25-989b7d668356", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.2249999999999996}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M1=1.0", "V1=0.025 L", "V2=0.25 L"], "plan": ["Apply M1V1=M2V2"], "prompt": "Dilute 0.025 L of a 1 M stock to 0.25 L. What is the final molarity?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M1V1 = M2V2 ⇒ M2 = 1.0·0.025/0.25 = 0.1.", "strategy": ["Apply M1V1=M2V2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.1, "got": 0.1}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "64", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-0-16-0-3c8a66aad359", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.275, "tests": 0.0, "total": 1.375}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "An algorithm performs n log2(n) comparisons. For n=16, how many comparisons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "n log2 n = 16·4.0 = 64.0.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 64.0, "got": 64.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "64.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2080", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-1-64-1-ee672f3b93e9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.4, "prompt_length": 0.3, "tests": 0.0, "total": 1.6500000000000001}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "A nested loop runs i=1..n, j=1..i. How many (i,j) pairs for n=64?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Sum_{i=1..n} i = n(n+1)/2 = 2080.0.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2080.0, "got": 2080.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2080.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": null, "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-2-32-2-ef5e5c485221", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.35, "tests": 0.0, "total": 1.4500000000000002}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "How many bits are required to represent the integer 32 in binary (floor(log2 n))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "floor(log2(32)) = 5.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0, "got": 5.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "13", "assumptions": [], "concept_id": null, "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-3-32-3-e7041d8b4479", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.175, "tests": 0.0, "total": 1.2750000000000001}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "Convert the binary integer 1101 to decimal.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "11012 = 1310.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 13.0, "got": 13.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "13.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2048", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-0-256-4-35d72d44eb5a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.275, "tests": 0.0, "total": 1.375}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "An algorithm performs n log2(n) comparisons. For n=256, how many comparisons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "n log2 n = 256·8.0 = 2048.0.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2048.0, "got": 2048.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2048.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8256", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-1-128-5-4f43c5e5fcd8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.4, "prompt_length": 0.3, "tests": 0.0, "total": 1.6500000000000001}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "A nested loop runs i=1..n, j=1..i. How many (i,j) pairs for n=128?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Sum_{i=1..n} i = n(n+1)/2 = 8256.0.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 8256.0, "got": 8256.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "8256.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8", "assumptions": [], "concept_id": null, "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-2-256-6-4bff46f5ace4", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.35, "tests": 0.0, "total": 1.4500000000000002}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "How many bits are required to represent the integer 256 in binary (floor(log2 n))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "floor(log2(256)) = 8.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 8.0, "got": 8.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "8.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "160", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-0-32-8-e3a9a696244b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.275, "tests": 0.0, "total": 1.375}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "An algorithm performs n log2(n) comparisons. For n=32, how many comparisons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "n log2 n = 32·5.0 = 160.0.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 160.0, "got": 160.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "160.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": null, "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-2-16-10-219f8ea0f428", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.35, "tests": 0.0, "total": 1.4500000000000002}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "How many bits are required to represent the integer 16 in binary (floor(log2 n))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "floor(log2(16)) = 4.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "58", "assumptions": [], "concept_id": null, "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-3-32-11-e809824a5e16", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.175, "tests": 0.0, "total": 1.2750000000000001}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "Convert the binary integer 111010 to decimal.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1110102 = 5810.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 58.0, "got": 58.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "58.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "896", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-0-128-12-bfb80d98a791", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.275, "tests": 0.0, "total": 1.375}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "An algorithm performs n log2(n) comparisons. For n=128, how many comparisons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "n log2 n = 128·7.0 = 896.0.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 896.0, "got": 896.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "896.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "528", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-1-32-13-51ef87fd6b92", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.4, "prompt_length": 0.3, "tests": 0.0, "total": 1.6500000000000001}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "A nested loop runs i=1..n, j=1..i. How many (i,j) pairs for n=32?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Sum_{i=1..n} i = n(n+1)/2 = 528.0.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 528.0, "got": 528.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "528.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6", "assumptions": [], "concept_id": null, "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-2-64-14-f6ee9c01eda6", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.35, "tests": 0.0, "total": 1.4500000000000002}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "How many bits are required to represent the integer 64 in binary (floor(log2 n))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "floor(log2(64)) = 6.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 6.0, "got": 6.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "6.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "14", "assumptions": [], "concept_id": null, "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-3-32-15-4c21edb659f8", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.175, "tests": 0.0, "total": 1.2750000000000001}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "Convert the binary integer 1110 to decimal.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "11102 = 1410.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 14.0, "got": 14.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "14.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "52", "assumptions": [], "concept_id": null, "constraints": ["Exact integer or binary logarithm as specified"], "context": {"field": "computer_science", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cs-3-32-19-7d0889f5d000", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.175, "tests": 0.0, "total": 1.2750000000000001}, "field": "computer_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Apply the stated formula or place-value conversion"], "prompt": "Convert the binary integer 110100 to decimal.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1101002 = 5210.", "strategy": ["Apply the stated formula or place-value conversion"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 52.0, "got": 52.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "52.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5000000", "assumptions": [], "concept_id": "python.loops", "constraints": ["Uniform uniaxial stress"], "context": {"field": "materials_science", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stress-5000-0-001-d29495f9a641", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.5749999999999997}, "field": "materials_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=5000 N", "A=0.001 m2"], "plan": ["Apply σ = F/A"], "prompt": "A tensile force of 5000 N acts on a cross-section of 0.001 m2. What is the axial stress in pascals?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "σ = F/A = 5000/0.001 = 5000000.0.", "strategy": ["Apply σ = F/A"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5000000.0, "got": 5000000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5000000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2500000", "assumptions": [], "concept_id": "python.loops", "constraints": ["Uniform uniaxial stress"], "context": {"field": "materials_science", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stress-2500-0-001-b060a1b37237", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.5749999999999997}, "field": "materials_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=2500 N", "A=0.001 m2"], "plan": ["Apply σ = F/A"], "prompt": "A tensile force of 2500 N acts on a cross-section of 0.001 m2. What is the axial stress in pascals?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "σ = F/A = 2500/0.001 = 2500000.0.", "strategy": ["Apply σ = F/A"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2500000.0, "got": 2500000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2500000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1250000", "assumptions": [], "concept_id": "python.loops", "constraints": ["Uniform uniaxial stress"], "context": {"field": "materials_science", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stress-2500-0-002-56d03664cac2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.5749999999999997}, "field": "materials_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=2500 N", "A=0.002 m2"], "plan": ["Apply σ = F/A"], "prompt": "A tensile force of 2500 N acts on a cross-section of 0.002 m2. What is the axial stress in pascals?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "σ = F/A = 2500/0.002 = 1250000.0.", "strategy": ["Apply σ = F/A"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1250000.0, "got": 1250000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1250000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2500000", "assumptions": [], "concept_id": "python.loops", "constraints": ["Uniform uniaxial stress"], "context": {"field": "materials_science", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stress-5000-0-002-f845f7ed9eaa", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.5749999999999997}, "field": "materials_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=5000 N", "A=0.002 m2"], "plan": ["Apply σ = F/A"], "prompt": "A tensile force of 5000 N acts on a cross-section of 0.002 m2. What is the axial stress in pascals?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "σ = F/A = 5000/0.002 = 2500000.0.", "strategy": ["Apply σ = F/A"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2500000.0, "got": 2500000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2500000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "500000", "assumptions": [], "concept_id": "python.loops", "constraints": ["Uniform uniaxial stress"], "context": {"field": "materials_science", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stress-1000-0-002-318b1102ce14", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.5749999999999997}, "field": "materials_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=1000 N", "A=0.002 m2"], "plan": ["Apply σ = F/A"], "prompt": "A tensile force of 1000 N acts on a cross-section of 0.002 m2. What is the axial stress in pascals?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "σ = F/A = 1000/0.002 = 500000.0.", "strategy": ["Apply σ = F/A"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 500000.0, "got": 500000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "500000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1000000", "assumptions": [], "concept_id": "python.loops", "constraints": ["Uniform uniaxial stress"], "context": {"field": "materials_science", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stress-5000-0-005-3d71f762e8a3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.5749999999999997}, "field": "materials_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=5000 N", "A=0.005 m2"], "plan": ["Apply σ = F/A"], "prompt": "A tensile force of 5000 N acts on a cross-section of 0.005 m2. What is the axial stress in pascals?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "σ = F/A = 5000/0.005 = 1000000.0.", "strategy": ["Apply σ = F/A"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1000000.0, "got": 1000000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1000000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2000000", "assumptions": [], "concept_id": "python.loops", "constraints": ["Uniform uniaxial stress"], "context": {"field": "materials_science", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stress-10000-0-005-c50d181c9080", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.5749999999999997}, "field": "materials_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=10000 N", "A=0.005 m2"], "plan": ["Apply σ = F/A"], "prompt": "A tensile force of 10000 N acts on a cross-section of 0.005 m2. What is the axial stress in pascals?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "σ = F/A = 10000/0.005 = 2000000.0.", "strategy": ["Apply σ = F/A"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2000000.0, "got": 2000000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2000000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "500000", "assumptions": [], "concept_id": "python.loops", "constraints": ["Uniform uniaxial stress"], "context": {"field": "materials_science", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stress-2500-0-005-ea27fa0a3e9b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.5749999999999997}, "field": "materials_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=2500 N", "A=0.005 m2"], "plan": ["Apply σ = F/A"], "prompt": "A tensile force of 2500 N acts on a cross-section of 0.005 m2. What is the axial stress in pascals?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "σ = F/A = 2500/0.005 = 500000.0.", "strategy": ["Apply σ = F/A"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 500000.0, "got": 500000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "500000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "200000", "assumptions": [], "concept_id": "python.loops", "constraints": ["Uniform uniaxial stress"], "context": {"field": "materials_science", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stress-1000-0-005-64ebb8c0621e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.5749999999999997}, "field": "materials_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=1000 N", "A=0.005 m2"], "plan": ["Apply σ = F/A"], "prompt": "A tensile force of 1000 N acts on a cross-section of 0.005 m2. What is the axial stress in pascals?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "σ = F/A = 1000/0.005 = 200000.0.", "strategy": ["Apply σ = F/A"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 200000.0, "got": 200000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "200000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5000000", "assumptions": [], "concept_id": "python.loops", "constraints": ["Uniform uniaxial stress"], "context": {"field": "materials_science", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-stress-10000-0-002-f4198bc37313", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.5749999999999997}, "field": "materials_science", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=10000 N", "A=0.002 m2"], "plan": ["Apply σ = F/A"], "prompt": "A tensile force of 10000 N acts on a cross-section of 0.002 m2. What is the axial stress in pascals?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "σ = F/A = 10000/0.002 = 5000000.0.", "strategy": ["Apply σ = F/A"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5000000.0, "got": 5000000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5000000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "30", "assumptions": [], "concept_id": "science.method", "constraints": ["One unit per replicate", "No blocking factor in this count"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-exp-6-5-0-2a9485087370", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.9}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["treatments=6", "replicates=5"], "plan": ["Multiply treatments by replicates"], "prompt": "You will test 6 fertilizer treatments with 5 independent replicates each, fully randomized. How many experimental units do you need?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "units = treatments × replicates = 6×5 = 30.", "strategy": ["Multiply treatments by replicates"], "task_type": "experimental_design", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 30.0, "got": 30.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "30.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16", "assumptions": [], "concept_id": "science.method", "constraints": ["One unit per replicate", "No blocking factor in this count"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-exp-4-4-1-32be60537ca3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.9}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["treatments=4", "replicates=4"], "plan": ["Multiply treatments by replicates"], "prompt": "You will test 4 fertilizer treatments with 4 independent replicates each, fully randomized. How many experimental units do you need?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "units = treatments × replicates = 4×4 = 16.", "strategy": ["Multiply treatments by replicates"], "task_type": "experimental_design", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 16.0, "got": 16.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "16.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "18", "assumptions": [], "concept_id": "science.method", "constraints": ["One unit per replicate", "No blocking factor in this count"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-exp-6-3-2-45d93bb0b63b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.9}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["treatments=6", "replicates=3"], "plan": ["Multiply treatments by replicates"], "prompt": "You will test 6 fertilizer treatments with 3 independent replicates each, fully randomized. How many experimental units do you need?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "units = treatments × replicates = 6×3 = 18.", "strategy": ["Multiply treatments by replicates"], "task_type": "experimental_design", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 18.0, "got": 18.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "18.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "15", "assumptions": [], "concept_id": "science.method", "constraints": ["One unit per replicate", "No blocking factor in this count"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-exp-5-3-3-d70a8b0a096d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.9}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["treatments=5", "replicates=3"], "plan": ["Multiply treatments by replicates"], "prompt": "You will test 5 fertilizer treatments with 3 independent replicates each, fully randomized. How many experimental units do you need?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "units = treatments × replicates = 5×3 = 15.", "strategy": ["Multiply treatments by replicates"], "task_type": "experimental_design", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 15.0, "got": 15.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "15.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "24", "assumptions": [], "concept_id": "science.method", "constraints": ["One unit per replicate", "No blocking factor in this count"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-exp-6-4-4-31d978ad8dcf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.9}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["treatments=6", "replicates=4"], "plan": ["Multiply treatments by replicates"], "prompt": "You will test 6 fertilizer treatments with 4 independent replicates each, fully randomized. How many experimental units do you need?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "units = treatments × replicates = 6×4 = 24.", "strategy": ["Multiply treatments by replicates"], "task_type": "experimental_design", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 24.0, "got": 24.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "24.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": [], "concept_id": "science.method", "constraints": ["One unit per replicate", "No blocking factor in this count"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-exp-4-5-5-38127b09e4fa", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.6, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.9}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["treatments=4", "replicates=5"], "plan": ["Multiply treatments by replicates"], "prompt": "You will test 4 fertilizer treatments with 5 independent replicates each, fully randomized. How many experimental units do you need?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "units = treatments × replicates = 4×5 = 20.", "strategy": ["Multiply treatments by replicates"], "task_type": "experimental_design", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 20.0, "got": 20.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1870.65", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-3-300-4-d17945a545d4", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=3", "T=300 K", "V=4 m^3"], "plan": ["Write PV=nRT", "Solve for P"], "prompt": "An ideal gas has n=3 mol, T=300 K, V=4 m^3. Using R=8.314 J/(mol·K), what is P in pascals from PV=nRT?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 3*8.314*300/4 = 1870.65.", "strategy": ["Write PV=nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1870.65, "got": 1870.65}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1870.65", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "453.9444", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-2-273-10-3c70a2e5cea1", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=2", "T=273 K", "V=10 m^3"], "plan": ["Write PV=nRT", "Solve for P"], "prompt": "An ideal gas has n=2 mol, T=273 K, V=10 m^3. Using R=8.314 J/(mol·K), what is P in pascals from PV=nRT?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 2*8.314*273/10 = 453.94440000000003.", "strategy": ["Write PV=nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 453.94440000000003, "got": 453.94440000000003}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "453.94440000000003", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "415.7", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-1-250-5-449e166c8947", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=1", "T=250 K", "V=5 m^3"], "plan": ["Write PV=nRT", "Solve for P"], "prompt": "An ideal gas has n=1 mol, T=250 K, V=5 m^3. Using R=8.314 J/(mol·K), what is P in pascals from PV=nRT?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 1*8.314*250/5 = 415.7.", "strategy": ["Write PV=nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 415.7, "got": 415.7}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "415.7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3741.3", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-3-300-2-d47a520bf57c", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=3", "T=300 K", "V=2 m^3"], "plan": ["Write PV=nRT", "Solve for P"], "prompt": "An ideal gas has n=3 mol, T=300 K, V=2 m^3. Using R=8.314 J/(mol·K), what is P in pascals from PV=nRT?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 3*8.314*300/2 = 3741.3.", "strategy": ["Write PV=nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3741.3, "got": 3741.3}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3741.3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2182.425", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-3-350-4-48c42cc74003", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=3", "T=350 K", "V=4 m^3"], "plan": ["Write PV=nRT", "Solve for P"], "prompt": "An ideal gas has n=3 mol, T=350 K, V=4 m^3. Using R=8.314 J/(mol·K), what is P in pascals from PV=nRT?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 3*8.314*350/4 = 2182.425.", "strategy": ["Write PV=nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2182.425, "got": 2182.425}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2182.425", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5819.8", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-2-350-1-8b1a824c4848", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=2", "T=350 K", "V=1 m^3"], "plan": ["Write PV=nRT", "Solve for P"], "prompt": "An ideal gas has n=2 mol, T=350 K, V=1 m^3. Using R=8.314 J/(mol·K), what is P in pascals from PV=nRT?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 2*8.314*350/1 = 5819.8.", "strategy": ["Write PV=nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5819.8, "got": 5819.8}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5819.8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2269.722", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-2-273-2-c735ae07893a", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=2", "T=273 K", "V=2 m^3"], "plan": ["Write PV=nRT", "Solve for P"], "prompt": "An ideal gas has n=2 mol, T=273 K, V=2 m^3. Using R=8.314 J/(mol·K), what is P in pascals from PV=nRT?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 2*8.314*273/2 = 2269.722.", "strategy": ["Write PV=nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2269.722, "got": 2269.722}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2269.722", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "581.98", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-2-350-10-9fe3d8099e78", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=2", "T=350 K", "V=10 m^3"], "plan": ["Write PV=nRT", "Solve for P"], "prompt": "An ideal gas has n=2 mol, T=350 K, V=10 m^3. Using R=8.314 J/(mol·K), what is P in pascals from PV=nRT?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 2*8.314*350/10 = 581.98.", "strategy": ["Write PV=nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 581.98, "got": 581.98}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "581.98", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1361.8332", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-3-273-5-d001eaab680e", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=3", "T=273 K", "V=5 m^3"], "plan": ["Write PV=nRT", "Solve for P"], "prompt": "An ideal gas has n=3 mol, T=273 K, V=5 m^3. Using R=8.314 J/(mol·K), what is P in pascals from PV=nRT?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 3*8.314*273/5 = 1361.8332.", "strategy": ["Write PV=nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1361.8332, "got": 1361.8332}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1361.8332", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2494.2", "assumptions": [], "concept_id": null, "constraints": ["Ideal gas", "SI units"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-gas-2-300-2-807595effea7", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.35}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=2", "T=300 K", "V=2 m^3"], "plan": ["Write PV=nRT", "Solve for P"], "prompt": "An ideal gas has n=2 mol, T=300 K, V=2 m^3. Using R=8.314 J/(mol·K), what is P in pascals from PV=nRT?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P = nRT/V = 2*8.314*300/2 = 2494.2.", "strategy": ["Write PV=nRT", "Solve for P"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2494.2, "got": 2494.2}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2494.2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4.5", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-18-4-d9fe408c23ba", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=18 kg", "V=4 m^3"], "plan": ["Divide mass by volume"], "prompt": "A sample has mass 18 kg and volume 4 m^3. What is its density in kg/m^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ρ = m/V = 18/4 = 4.5.", "strategy": ["Divide mass by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.5, "got": 4.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "14", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-7-0-5-5ce886690f6f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=7 kg", "V=0.5 m^3"], "plan": ["Divide mass by volume"], "prompt": "A sample has mass 7 kg and volume 0.5 m^3. What is its density in kg/m^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ρ = m/V = 7/0.5 = 14.0.", "strategy": ["Divide mass by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 14.0, "got": 14.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "14.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2.2", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-11-5-5483770cd1af", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=11 kg", "V=5 m^3"], "plan": ["Divide mass by volume"], "prompt": "A sample has mass 11 kg and volume 5 m^3. What is its density in kg/m^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ρ = m/V = 11/5 = 2.2.", "strategy": ["Divide mass by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.2, "got": 2.2}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "24", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-12-0-5-97a686825f35", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=12 kg", "V=0.5 m^3"], "plan": ["Divide mass by volume"], "prompt": "A sample has mass 12 kg and volume 0.5 m^3. What is its density in kg/m^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ρ = m/V = 12/0.5 = 24.0.", "strategy": ["Divide mass by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 24.0, "got": 24.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "24.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4.5", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-9-2-039693976909", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=9 kg", "V=2 m^3"], "plan": ["Divide mass by volume"], "prompt": "A sample has mass 9 kg and volume 2 m^3. What is its density in kg/m^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ρ = m/V = 9/2 = 4.5.", "strategy": ["Divide mass by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.5, "got": 4.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-9-1-6c45fa1edbef", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=9 kg", "V=1 m^3"], "plan": ["Divide mass by volume"], "prompt": "A sample has mass 9 kg and volume 1 m^3. What is its density in kg/m^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ρ = m/V = 9/1 = 9.0.", "strategy": ["Divide mass by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 9.0, "got": 9.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "9.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-6-0-5-60773bf3f5e8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=6 kg", "V=0.5 m^3"], "plan": ["Divide mass by volume"], "prompt": "A sample has mass 6 kg and volume 0.5 m^3. What is its density in kg/m^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ρ = m/V = 6/0.5 = 12.0.", "strategy": ["Divide mass by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 12.0, "got": 12.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "12.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-3-1-a40c1273b4d0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=3 kg", "V=1 m^3"], "plan": ["Divide mass by volume"], "prompt": "A sample has mass 3 kg and volume 1 m^3. What is its density in kg/m^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ρ = m/V = 3/1 = 3.0.", "strategy": ["Divide mass by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.0, "got": 3.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3.4", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-17-5-42c3b4e431e4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=17 kg", "V=5 m^3"], "plan": ["Divide mass by volume"], "prompt": "A sample has mass 17 kg and volume 5 m^3. What is its density in kg/m^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ρ = m/V = 17/5 = 3.4.", "strategy": ["Divide mass by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.4, "got": 3.4}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform density", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dens-4-4-902aeabb9ea1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.425}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=4 kg", "V=4 m^3"], "plan": ["Divide mass by volume"], "prompt": "A sample has mass 4 kg and volume 4 m^3. What is its density in kg/m^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ρ = m/V = 4/4 = 1.0.", "strategy": ["Divide mass by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.0, "got": 1.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "17.14285714", "assumptions": [], "concept_id": "python.classes", "constraints": ["Thin-lens equation", "Positive real-object distances"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-lens-12-40-af3dfe9c25ad", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.6, "plan": 0.8, "prompt_length": 0.7, "tests": 0.0, "total": 4.875}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=12 cm", "u=40 cm"], "plan": ["Rearrange 1/f=1/v+1/u", "Compute v"], "prompt": "A thin converging lens has f=12 cm. A real object is u=40 cm away. Using 1/f = 1/v + 1/u with positive distances, what is v in cm?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/v = 1/f - 1/u = 1/12 - 1/40 so v = 17.142857142857146.", "strategy": ["Rearrange 1/f=1/v+1/u", "Compute v"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 17.142857142857146, "got": 17.142857142857146}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "17.142857142857146", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10.90909091", "assumptions": [], "concept_id": "python.classes", "constraints": ["Thin-lens equation", "Positive real-object distances"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-lens-8-30-c14a8e43a1fd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.6, "plan": 0.8, "prompt_length": 0.7, "tests": 0.0, "total": 4.875}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=8 cm", "u=30 cm"], "plan": ["Rearrange 1/f=1/v+1/u", "Compute v"], "prompt": "A thin converging lens has f=8 cm. A real object is u=30 cm away. Using 1/f = 1/v + 1/u with positive distances, what is v in cm?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/v = 1/f - 1/u = 1/8 - 1/30 so v = 10.909090909090908.", "strategy": ["Rearrange 1/f=1/v+1/u", "Compute v"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 10.909090909090908, "got": 10.909090909090908}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "10.909090909090908", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": [], "concept_id": "python.classes", "constraints": ["Thin-lens equation", "Positive real-object distances"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-lens-12-30-f623058da966", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.6, "plan": 0.8, "prompt_length": 0.7, "tests": 0.0, "total": 4.875}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=12 cm", "u=30 cm"], "plan": ["Rearrange 1/f=1/v+1/u", "Compute v"], "prompt": "A thin converging lens has f=12 cm. A real object is u=30 cm away. Using 1/f = 1/v + 1/u with positive distances, what is v in cm?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/v = 1/f - 1/u = 1/12 - 1/30 so v = 20.0.", "strategy": ["Rearrange 1/f=1/v+1/u", "Compute v"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 20.0, "got": 20.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "13.33333333", "assumptions": [], "concept_id": "python.classes", "constraints": ["Thin-lens equation", "Positive real-object distances"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-lens-8-20-75343c815502", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.6, "plan": 0.8, "prompt_length": 0.7, "tests": 0.0, "total": 4.875}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=8 cm", "u=20 cm"], "plan": ["Rearrange 1/f=1/v+1/u", "Compute v"], "prompt": "A thin converging lens has f=8 cm. A real object is u=20 cm away. Using 1/f = 1/v + 1/u with positive distances, what is v in cm?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/v = 1/f - 1/u = 1/8 - 1/20 so v = 13.333333333333334.", "strategy": ["Rearrange 1/f=1/v+1/u", "Compute v"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 13.333333333333334, "got": 13.333333333333334}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "13.333333333333334", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7.5", "assumptions": [], "concept_id": "python.classes", "constraints": ["Thin-lens equation", "Positive real-object distances"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-lens-5-15-9fde79cb2737", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.6, "plan": 0.8, "prompt_length": 0.7, "tests": 0.0, "total": 4.875}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=5 cm", "u=15 cm"], "plan": ["Rearrange 1/f=1/v+1/u", "Compute v"], "prompt": "A thin converging lens has f=5 cm. A real object is u=15 cm away. Using 1/f = 1/v + 1/u with positive distances, what is v in cm?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/v = 1/f - 1/u = 1/5 - 1/15 so v = 7.499999999999998.", "strategy": ["Rearrange 1/f=1/v+1/u", "Compute v"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 7.499999999999998, "got": 7.499999999999998}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "7.499999999999998", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "30", "assumptions": [], "concept_id": "python.classes", "constraints": ["Thin-lens equation", "Positive real-object distances"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-lens-12-20-85734de18584", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.6, "plan": 0.8, "prompt_length": 0.7, "tests": 0.0, "total": 4.875}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=12 cm", "u=20 cm"], "plan": ["Rearrange 1/f=1/v+1/u", "Compute v"], "prompt": "A thin converging lens has f=12 cm. A real object is u=20 cm away. Using 1/f = 1/v + 1/u with positive distances, what is v in cm?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/v = 1/f - 1/u = 1/12 - 1/20 so v = 30.000000000000007.", "strategy": ["Rearrange 1/f=1/v+1/u", "Compute v"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 30.000000000000007, "got": 30.000000000000007}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "30.000000000000007", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": [], "concept_id": "python.classes", "constraints": ["Thin-lens equation", "Positive real-object distances"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-lens-8-40-d9be1fe2575a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.6, "plan": 0.8, "prompt_length": 0.7, "tests": 0.0, "total": 4.875}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=8 cm", "u=40 cm"], "plan": ["Rearrange 1/f=1/v+1/u", "Compute v"], "prompt": "A thin converging lens has f=8 cm. A real object is u=40 cm away. Using 1/f = 1/v + 1/u with positive distances, what is v in cm?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/v = 1/f - 1/u = 1/8 - 1/40 so v = 10.0.", "strategy": ["Rearrange 1/f=1/v+1/u", "Compute v"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 10.0, "got": 10.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "10.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "60", "assumptions": [], "concept_id": "python.classes", "constraints": ["Thin-lens equation", "Positive real-object distances"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-lens-12-15-f025fbe57600", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.6, "plan": 0.8, "prompt_length": 0.7, "tests": 0.0, "total": 4.875}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=12 cm", "u=15 cm"], "plan": ["Rearrange 1/f=1/v+1/u", "Compute v"], "prompt": "A thin converging lens has f=12 cm. A real object is u=15 cm away. Using 1/f = 1/v + 1/u with positive distances, what is v in cm?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/v = 1/f - 1/u = 1/12 - 1/15 so v = 60.000000000000014.", "strategy": ["Rearrange 1/f=1/v+1/u", "Compute v"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 60.000000000000014, "got": 60.000000000000014}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "60.000000000000014", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3.973835306", "assumptions": [], "concept_id": "science.waves", "constraints": ["Small-angle pendulum", "g=10"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-pend-4-0-455971c4bbbd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.45, "tests": 0.0, "total": 3.325}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["L=4 m"], "plan": ["Write T=2π√(L/g)", "Substitute"], "prompt": "A simple pendulum has length 4 m. Take g=10 m/s2 and T=2π√(L/g). What is the period in seconds?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "T=2π√(4/10) = 3.9738353063184406.", "strategy": ["Write T=2π√(L/g)", "Substitute"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.9738353063184406, "got": 3.9738353063184406}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.9738353063184406", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.884955592", "assumptions": [], "concept_id": "science.waves", "constraints": ["Small-angle pendulum", "g=10"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-pend-0-9-b561cdcf7035", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.45, "tests": 0.0, "total": 3.325}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["L=0.9 m"], "plan": ["Write T=2π√(L/g)", "Substitute"], "prompt": "A simple pendulum has length 0.9 m. Take g=10 m/s2 and T=2π√(L/g). What is the period in seconds?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "T=2π√(0.9/10) = 1.8849555921538759.", "strategy": ["Write T=2π√(L/g)", "Substitute"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.8849555921538759, "got": 1.8849555921538759}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.8849555921538759", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.256637061", "assumptions": [], "concept_id": "science.waves", "constraints": ["Small-angle pendulum", "g=10"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-pend-0-4-ae3c669c3ec1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.45, "tests": 0.0, "total": 3.325}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["L=0.4 m"], "plan": ["Write T=2π√(L/g)", "Substitute"], "prompt": "A simple pendulum has length 0.4 m. Take g=10 m/s2 and T=2π√(L/g). What is the period in seconds?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "T=2π√(0.4/10) = 1.2566370614359172.", "strategy": ["Write T=2π√(L/g)", "Substitute"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.2566370614359172, "got": 1.2566370614359172}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.2566370614359172", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3.141592654", "assumptions": [], "concept_id": "science.waves", "constraints": ["Small-angle pendulum", "g=10"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-pend-2-5-c557baba15f9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.45, "tests": 0.0, "total": 3.325}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["L=2.5 m"], "plan": ["Write T=2π√(L/g)", "Substitute"], "prompt": "A simple pendulum has length 2.5 m. Take g=10 m/s2 and T=2π√(L/g). What is the period in seconds?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "T=2π√(2.5/10) = 3.141592653589793.", "strategy": ["Write T=2π√(L/g)", "Substitute"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.141592653589793, "got": 3.141592653589793}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.141592653589793", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4.002e-05", "assumptions": [], "concept_id": "science.newton", "constraints": ["Point masses", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-grav-500000-0-300000-0-500-0-4fb11fbf3256", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 4.2749999999999995}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m1=500000", "m2=300000", "r=500"], "plan": ["Write Newton's gravity law", "Substitute"], "prompt": "Two point masses 500000 kg and 300000 kg are 500 m apart. Using G=6.67e-11, what is the Newtonian force magnitude in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=G m1 m2 / r^2 = 4.001999999999999e-05.", "strategy": ["Write Newton's gravity law", "Substitute"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.001999999999999e-05, "got": 4.001999999999999e-05}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.001999999999999e-05", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.0002001", "assumptions": [], "concept_id": "science.newton", "constraints": ["Point masses", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-grav-800000-0-600000-0-400-0-9bfa362edf51", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 4.0249999999999995}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m1=800000", "m2=600000", "r=400"], "plan": ["Write Newton's gravity law", "Substitute"], "prompt": "Two point masses 800000 kg and 600000 kg are 400 m apart. Using G=6.67e-11, what is the Newtonian force magnitude in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=G m1 m2 / r^2 = 0.00020009999999999998.", "strategy": ["Write Newton's gravity law", "Substitute"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.00020009999999999998, "got": 0.00020009999999999998}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.00020009999999999998", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.00010005", "assumptions": [], "concept_id": "science.newton", "constraints": ["Point masses", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-grav-400000-0-600000-0-400-0-3d132fccabc2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 4.0249999999999995}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m1=400000", "m2=600000", "r=400"], "plan": ["Write Newton's gravity law", "Substitute"], "prompt": "Two point masses 400000 kg and 600000 kg are 400 m apart. Using G=6.67e-11, what is the Newtonian force magnitude in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=G m1 m2 / r^2 = 0.00010004999999999999.", "strategy": ["Write Newton's gravity law", "Substitute"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.00010004999999999999, "got": 0.00010004999999999999}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.00010004999999999999", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.0004002", "assumptions": [], "concept_id": "science.newton", "constraints": ["Point masses", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-grav-800000-0-300000-0-200-0-4698e42d9027", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 4.0249999999999995}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m1=800000", "m2=300000", "r=200"], "plan": ["Write Newton's gravity law", "Substitute"], "prompt": "Two point masses 800000 kg and 300000 kg are 200 m apart. Using G=6.67e-11, what is the Newtonian force magnitude in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=G m1 m2 / r^2 = 0.00040019999999999997.", "strategy": ["Write Newton's gravity law", "Substitute"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.00040019999999999997, "got": 0.00040019999999999997}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.00040019999999999997", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.0001250625", "assumptions": [], "concept_id": "science.newton", "constraints": ["Point masses", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-grav-500000-0-600000-0-400-0-f9d19656ded4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 4.0249999999999995}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m1=500000", "m2=600000", "r=400"], "plan": ["Write Newton's gravity law", "Substitute"], "prompt": "Two point masses 500000 kg and 600000 kg are 400 m apart. Using G=6.67e-11, what is the Newtonian force magnitude in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=G m1 m2 / r^2 = 0.00012506249999999998.", "strategy": ["Write Newton's gravity law", "Substitute"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.00012506249999999998, "got": 0.00012506249999999998}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.00012506249999999998", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5.0025e-05", "assumptions": [], "concept_id": "science.newton", "constraints": ["Point masses", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-grav-400000-0-300000-0-400-0-27582bda7b1f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 4.2749999999999995}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m1=400000", "m2=300000", "r=400"], "plan": ["Write Newton's gravity law", "Substitute"], "prompt": "Two point masses 400000 kg and 300000 kg are 400 m apart. Using G=6.67e-11, what is the Newtonian force magnitude in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=G m1 m2 / r^2 = 5.0024999999999996e-05.", "strategy": ["Write Newton's gravity law", "Substitute"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0024999999999996e-05, "got": 5.0024999999999996e-05}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0024999999999996e-05", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5.0025e-05", "assumptions": [], "concept_id": "science.newton", "constraints": ["Point masses", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-grav-200000-0-600000-0-400-0-f851b4e221fe", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 4.2749999999999995}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m1=200000", "m2=600000", "r=400"], "plan": ["Write Newton's gravity law", "Substitute"], "prompt": "Two point masses 200000 kg and 600000 kg are 400 m apart. Using G=6.67e-11, what is the Newtonian force magnitude in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=G m1 m2 / r^2 = 5.0024999999999996e-05.", "strategy": ["Write Newton's gravity law", "Substitute"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0024999999999996e-05, "got": 5.0024999999999996e-05}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0024999999999996e-05", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": null, "constraints": ["Molarity is moles per litre of solution"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-mol-1-0-0-25-be54f1199aab", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.425, "tests": 0.0, "total": 2.4999999999999996}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=1 mol", "V=0.25 L"], "plan": ["Divide moles by volume"], "prompt": "1 mol of solute is dissolved to 0.25 L of solution. What is the molarity in mol/L?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M = n/V = 1/0.25 = 4.0.", "strategy": ["Divide moles by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": null, "constraints": ["Molarity is moles per litre of solution"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-mol-0-5-0-5-bff8fa6c6b0d", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.425, "tests": 0.0, "total": 2.4999999999999996}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=0.5 mol", "V=0.5 L"], "plan": ["Divide moles by volume"], "prompt": "0.5 mol of solute is dissolved to 0.5 L of solution. What is the molarity in mol/L?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M = n/V = 0.5/0.5 = 1.0.", "strategy": ["Divide moles by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.0, "got": 1.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.25", "assumptions": [], "concept_id": null, "constraints": ["Molarity is moles per litre of solution"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-mol-0-5-2-0-13c484459170", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.425, "tests": 0.0, "total": 2.4999999999999996}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=0.5 mol", "V=2 L"], "plan": ["Divide moles by volume"], "prompt": "0.5 mol of solute is dissolved to 2 L of solution. What is the molarity in mol/L?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M = n/V = 0.5/2 = 0.25.", "strategy": ["Divide moles by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.25, "got": 0.25}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.125", "assumptions": [], "concept_id": null, "constraints": ["Molarity is moles per litre of solution"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-mol-0-25-2-0-48d38d45b403", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.425, "tests": 0.0, "total": 2.4999999999999996}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=0.25 mol", "V=2 L"], "plan": ["Divide moles by volume"], "prompt": "0.25 mol of solute is dissolved to 2 L of solution. What is the molarity in mol/L?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M = n/V = 0.25/2 = 0.125.", "strategy": ["Divide moles by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.125, "got": 0.125}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.125", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": null, "constraints": ["Molarity is moles per litre of solution"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-mol-2-0-1-0-ca9c248224c6", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.425, "tests": 0.0, "total": 2.4999999999999996}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=2 mol", "V=1 L"], "plan": ["Divide moles by volume"], "prompt": "2 mol of solute is dissolved to 1 L of solution. What is the molarity in mol/L?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M = n/V = 2/1 = 2.0.", "strategy": ["Divide moles by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0, "got": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": null, "constraints": ["Molarity is moles per litre of solution"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-mol-2-0-2-0-303f248ef12b", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.425, "tests": 0.0, "total": 2.4999999999999996}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=2 mol", "V=2 L"], "plan": ["Divide moles by volume"], "prompt": "2 mol of solute is dissolved to 2 L of solution. What is the molarity in mol/L?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M = n/V = 2/2 = 1.0.", "strategy": ["Divide moles by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.0, "got": 1.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.5", "assumptions": [], "concept_id": null, "constraints": ["Molarity is moles per litre of solution"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-mol-0-25-0-5-2ac226835fcd", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.6, "plan": 0.4, "prompt_length": 0.425, "tests": 0.0, "total": 2.4999999999999996}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=0.25 mol", "V=0.5 L"], "plan": ["Divide moles by volume"], "prompt": "0.25 mol of solute is dissolved to 0.5 L of solution. What is the molarity in mol/L?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "M = n/V = 0.25/0.5 = 0.5.", "strategy": ["Divide moles by volume"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.5, "got": 0.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.415625", "assumptions": [], "concept_id": null, "constraints": ["Given sines, not angles"], "context": {"field": "optics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-snell-1-33-1-6-0-5-305771c4947c", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.425, "tests": 0.0, "total": 2.55}, "field": "optics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n1=1.33", "n2=1.6", "sinθ1=0.5"], "plan": ["Solve Snell for sin θ2"], "prompt": "Snell's law: n1 sin θ1 = n2 sin θ2. n1=1.33, n2=1.6, sin θ1=0.5. What is sin θ2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "sin θ2 = n1 sin θ1 / n2 = 0.415625.", "strategy": ["Solve Snell for sin θ2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.415625, "got": 0.415625}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.415625", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.25", "assumptions": [], "concept_id": null, "constraints": ["Given sines, not angles"], "context": {"field": "optics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-snell-1-0-1-6-0-4-b9815c7e44af", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.425, "tests": 0.0, "total": 2.55}, "field": "optics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n1=1.0", "n2=1.6", "sinθ1=0.4"], "plan": ["Solve Snell for sin θ2"], "prompt": "Snell's law: n1 sin θ1 = n2 sin θ2. n1=1, n2=1.6, sin θ1=0.4. What is sin θ2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "sin θ2 = n1 sin θ1 / n2 = 0.25.", "strategy": ["Solve Snell for sin θ2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.25, "got": 0.25}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.1875", "assumptions": [], "concept_id": null, "constraints": ["Given sines, not angles"], "context": {"field": "optics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-snell-1-0-1-6-0-3-f9b1ed2c16c7", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.425, "tests": 0.0, "total": 2.55}, "field": "optics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n1=1.0", "n2=1.6", "sinθ1=0.3"], "plan": ["Solve Snell for sin θ2"], "prompt": "Snell's law: n1 sin θ1 = n2 sin θ2. n1=1, n2=1.6, sin θ1=0.3. What is sin θ2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "sin θ2 = n1 sin θ1 / n2 = 0.18749999999999997.", "strategy": ["Solve Snell for sin θ2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.18749999999999997, "got": 0.18749999999999997}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.18749999999999997", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.3325", "assumptions": [], "concept_id": null, "constraints": ["Given sines, not angles"], "context": {"field": "optics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-snell-1-33-1-6-0-4-821edc5f1752", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.425, "tests": 0.0, "total": 2.55}, "field": "optics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n1=1.33", "n2=1.6", "sinθ1=0.4"], "plan": ["Solve Snell for sin θ2"], "prompt": "Snell's law: n1 sin θ1 = n2 sin θ2. n1=1.33, n2=1.6, sin θ1=0.4. What is sin θ2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "sin θ2 = n1 sin θ1 / n2 = 0.3325.", "strategy": ["Solve Snell for sin θ2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.3325, "got": 0.3325}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.3325", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Exact half-lives", "No background"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-80-4-063b7aab74dc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.6, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.6}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=80", "half-lives=4"], "plan": ["Divide by 2 once per half-life"], "prompt": "A sample starts at 80 units. After 4 half-lives, how many units remain (exponential decay, integer-power of two)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 / 2^h = 80/2^4 = 5.0.", "strategy": ["Divide by 2 once per half-life"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0, "got": 5.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Exact half-lives", "No background"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-160-4-c13c9e090a6b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.6, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.6}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=160", "half-lives=4"], "plan": ["Divide by 2 once per half-life"], "prompt": "A sample starts at 160 units. After 4 half-lives, how many units remain (exponential decay, integer-power of two)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 / 2^h = 160/2^4 = 10.0.", "strategy": ["Divide by 2 once per half-life"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 10.0, "got": 10.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "10.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "80", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Exact half-lives", "No background"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-320-2-84ee8c1a5723", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.6, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.6}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=320", "half-lives=2"], "plan": ["Divide by 2 once per half-life"], "prompt": "A sample starts at 320 units. After 2 half-lives, how many units remain (exponential decay, integer-power of two)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 / 2^h = 320/2^2 = 80.0.", "strategy": ["Divide by 2 once per half-life"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 80.0, "got": 80.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "80.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "40", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Exact half-lives", "No background"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-160-2-6ce9c331eccd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.6, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.6}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=160", "half-lives=2"], "plan": ["Divide by 2 once per half-life"], "prompt": "A sample starts at 160 units. After 2 half-lives, how many units remain (exponential decay, integer-power of two)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 / 2^h = 160/2^2 = 40.0.", "strategy": ["Divide by 2 once per half-life"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 40.0, "got": 40.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "40.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "160", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Exact half-lives", "No background"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-320-1-fae14184906a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.6, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.6}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=320", "half-lives=1"], "plan": ["Divide by 2 once per half-life"], "prompt": "A sample starts at 320 units. After 1 half-lives, how many units remain (exponential decay, integer-power of two)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 / 2^h = 320/2^1 = 160.0.", "strategy": ["Divide by 2 once per half-life"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 160.0, "got": 160.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "160.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "80", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Exact half-lives", "No background"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-hl-160-1-8ef09fc7302c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.6, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.6}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["N0=160", "half-lives=1"], "plan": ["Divide by 2 once per half-life"], "prompt": "A sample starts at 160 units. After 1 half-lives, how many units remain (exponential decay, integer-power of two)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "N = N0 / 2^h = 160/2^1 = 80.0.", "strategy": ["Divide by 2 once per half-life"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 80.0, "got": 80.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "80.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3/4", "assumptions": [], "concept_id": "science.genetics", "constraints": ["Mendelian, independent, complete dominance"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-punnett-hetero-mono-0-3287e2854a11", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 2.7}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["hetero_mono"], "plan": ["Draw Punnett", "Count matching genotypes"], "prompt": "Aa × Aa, complete dominance. What is P(dominant phenotype) as a reduced fraction a/b? Report a/b.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "3/4 of the Punnett cells match.", "strategy": ["Draw Punnett", "Count matching genotypes"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.75, "got": 0.75}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.75", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1/2", "assumptions": [], "concept_id": "math.arithmetic", "constraints": ["Mendelian, independent, complete dominance"], "context": {"field": "biology", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-punnett-testcross-2-5fc3d34cc237", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 2.725}, "field": "biology", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["testcross"], "plan": ["Draw Punnett", "Count matching genotypes"], "prompt": "Aa × aa testcross, complete dominance. What is P(recessive phenotype) as a reduced fraction a/b? Report a/b.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/2 of the Punnett cells match.", "strategy": ["Draw Punnett", "Count matching genotypes"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.5, "got": 0.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9000", "assumptions": [], "concept_id": "science.newton", "constraints": ["No phase change"], "context": {"field": "thermodynamics", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-q-1-0-900-10-170c940d9a6a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.325, "tests": 0.0, "total": 2.45}, "field": "thermodynamics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=1.0", "c=900", "dT=10"], "plan": ["Multiply m c ΔT"], "prompt": "Q=mcΔT. Mass 1 kg, c=900 J/(kg·K), ΔT=10 K. What is Q in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q=1·900·10=9000.0.", "strategy": ["Multiply m c ΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 9000.0, "got": 9000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "9000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4500", "assumptions": [], "concept_id": "science.newton", "constraints": ["No phase change"], "context": {"field": "thermodynamics", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-q-1-0-900-5-85fa07f56b36", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.325, "tests": 0.0, "total": 2.45}, "field": "thermodynamics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=1.0", "c=900", "dT=5"], "plan": ["Multiply m c ΔT"], "prompt": "Q=mcΔT. Mass 1 kg, c=900 J/(kg·K), ΔT=5 K. What is Q in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q=1·900·5=4500.0.", "strategy": ["Multiply m c ΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4500.0, "got": 4500.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4500.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "83600", "assumptions": [], "concept_id": "science.newton", "constraints": ["No phase change"], "context": {"field": "thermodynamics", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-q-1-0-4180-20-92ec518fa650", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.325, "tests": 0.0, "total": 2.45}, "field": "thermodynamics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=1.0", "c=4180", "dT=20"], "plan": ["Multiply m c ΔT"], "prompt": "Q=mcΔT. Mass 1 kg, c=4180 J/(kg·K), ΔT=20 K. What is Q in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q=1·4180·20=83600.0.", "strategy": ["Multiply m c ΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 83600.0, "got": 83600.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "83600.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "83600", "assumptions": [], "concept_id": "science.newton", "constraints": ["No phase change"], "context": {"field": "thermodynamics", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-q-2-0-4180-10-45ab264f32af", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.325, "tests": 0.0, "total": 2.45}, "field": "thermodynamics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=2.0", "c=4180", "dT=10"], "plan": ["Multiply m c ΔT"], "prompt": "Q=mcΔT. Mass 2 kg, c=4180 J/(kg·K), ΔT=10 K. What is Q in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q=2·4180·10=83600.0.", "strategy": ["Multiply m c ΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 83600.0, "got": 83600.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "83600.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "967.5", "assumptions": [], "concept_id": "science.newton", "constraints": ["No phase change"], "context": {"field": "thermodynamics", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-q-0-5-387-5-3f67aee11517", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.325, "tests": 0.0, "total": 2.45}, "field": "thermodynamics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=0.5", "c=387", "dT=5"], "plan": ["Multiply m c ΔT"], "prompt": "Q=mcΔT. Mass 0.5 kg, c=387 J/(kg·K), ΔT=5 K. What is Q in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q=0.5·387·5=967.5.", "strategy": ["Multiply m c ΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 967.5, "got": 967.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "967.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "41800", "assumptions": [], "concept_id": "science.newton", "constraints": ["No phase change"], "context": {"field": "thermodynamics", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-q-2-0-4180-5-7f3d51f43974", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.325, "tests": 0.0, "total": 2.45}, "field": "thermodynamics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=2.0", "c=4180", "dT=5"], "plan": ["Multiply m c ΔT"], "prompt": "Q=mcΔT. Mass 2 kg, c=4180 J/(kg·K), ΔT=5 K. What is Q in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q=2·4180·5=41800.0.", "strategy": ["Multiply m c ΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 41800.0, "got": 41800.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "41800.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10450", "assumptions": [], "concept_id": "science.newton", "constraints": ["No phase change"], "context": {"field": "thermodynamics", "units_in_si_unless_stated": true}, "difficulty": "introductory", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-q-0-5-4180-5-f59bd094b7b3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.325, "tests": 0.0, "total": 2.45}, "field": "thermodynamics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=0.5", "c=4180", "dT=5"], "plan": ["Multiply m c ΔT"], "prompt": "Q=mcΔT. Mass 0.5 kg, c=4180 J/(kg·K), ΔT=5 K. What is Q in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q=0.5·4180·5=10450.0.", "strategy": ["Multiply m c ΔT"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 10450.0, "got": 10450.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "10450.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": [], "concept_id": "science.newton", "constraints": ["Fully submerged", "Fresh water"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-buoy-0-002-2c93dd1da97a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.85}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["V=0.002"], "plan": ["Write F=ρVg"], "prompt": "Archimedes: a fully submerged volume 0.002 m3 in freshwater (ρ=1000 kg/m3), g=10 m/s2. What is the buoyant force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=ρVg=1000·0.002·10=20.0.", "strategy": ["Write F=ρVg"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 20.0, "got": 20.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "50", "assumptions": [], "concept_id": "science.newton", "constraints": ["Fully submerged", "Fresh water"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-buoy-0-005-21b8e64226e0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.85}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["V=0.005"], "plan": ["Write F=ρVg"], "prompt": "Archimedes: a fully submerged volume 0.005 m3 in freshwater (ρ=1000 kg/m3), g=10 m/s2. What is the buoyant force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=ρVg=1000·0.005·10=50.0.", "strategy": ["Write F=ρVg"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 50.0, "got": 50.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "50.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "100", "assumptions": [], "concept_id": "science.newton", "constraints": ["Fully submerged", "Fresh water"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-buoy-0-01-399d569da5ca", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.85}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["V=0.01"], "plan": ["Write F=ρVg"], "prompt": "Archimedes: a fully submerged volume 0.01 m3 in freshwater (ρ=1000 kg/m3), g=10 m/s2. What is the buoyant force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=ρVg=1000·0.01·10=100.0.", "strategy": ["Write F=ρVg"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 100.0, "got": 100.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "100.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3.9756e-19", "assumptions": [], "concept_id": "science.energy", "constraints": ["Single photon", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-phot-600000000000000-0-dce334949115", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.3, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.25}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=6e+14"], "plan": ["Multiply h by f"], "prompt": "A photon has frequency 6e+14 Hz. Using E=hf and h=6.626e-34 J·s, what is E in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "E=hf=6.626e-34·6e+14=3.9756e-19.", "strategy": ["Multiply h by f"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.9756e-19, "got": 3.9756e-19}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.9756e-19", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6.626e-19", "assumptions": [], "concept_id": "science.energy", "constraints": ["Single photon", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-phot-1000000000000000-0-54855c1990d1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.3, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.25}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=1e+15"], "plan": ["Multiply h by f"], "prompt": "A photon has frequency 1e+15 Hz. Using E=hf and h=6.626e-34 J·s, what is E in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "E=hf=6.626e-34·1e+15=6.625999999999999e-19.", "strategy": ["Multiply h by f"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 6.625999999999999e-19, "got": 6.625999999999999e-19}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "6.625999999999999e-19", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3.313e-19", "assumptions": [], "concept_id": "science.energy", "constraints": ["Single photon", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-phot-500000000000000-0-a6f360f1e129", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.3, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.25}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=5e+14"], "plan": ["Multiply h by f"], "prompt": "A photon has frequency 5e+14 Hz. Using E=hf and h=6.626e-34 J·s, what is E in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "E=hf=6.626e-34·5e+14=3.3129999999999997e-19.", "strategy": ["Multiply h by f"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.3129999999999997e-19, "got": 3.3129999999999997e-19}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.3129999999999997e-19", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.2", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as given"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-2-0-0-1-1-0-075fcf4c08e8", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.65}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["C1=2.0", "V1=0.1", "V2=1.0"], "plan": ["Solve C1V1=C2V2 for C2"], "prompt": "Dilute 0.1 L of 2 mol/L solution to 1 L. What is the new concentration in mol/L (C1V1=C2V2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "C2=C1V1/V2=2·0.1/1=0.2.", "strategy": ["Solve C1V1=C2V2 for C2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.2, "got": 0.2}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as given"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-2-0-0-25-0-5-407258cf0636", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.65}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["C1=2.0", "V1=0.25", "V2=0.5"], "plan": ["Solve C1V1=C2V2 for C2"], "prompt": "Dilute 0.25 L of 2 mol/L solution to 0.5 L. What is the new concentration in mol/L (C1V1=C2V2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "C2=C1V1/V2=2·0.25/0.5=1.0.", "strategy": ["Solve C1V1=C2V2 for C2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.0, "got": 1.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.75", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as given"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-6-0-0-25-2-0-b9e8d2570e1c", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.65}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["C1=6.0", "V1=0.25", "V2=2.0"], "plan": ["Solve C1V1=C2V2 for C2"], "prompt": "Dilute 0.25 L of 6 mol/L solution to 2 L. What is the new concentration in mol/L (C1V1=C2V2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "C2=C1V1/V2=6·0.25/2=0.75.", "strategy": ["Solve C1V1=C2V2 for C2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.75, "got": 0.75}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.75", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as given"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-10-0-0-2-2-0-1fedc8b571a6", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.65}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["C1=10.0", "V1=0.2", "V2=2.0"], "plan": ["Solve C1V1=C2V2 for C2"], "prompt": "Dilute 0.2 L of 10 mol/L solution to 2 L. What is the new concentration in mol/L (C1V1=C2V2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "C2=C1V1/V2=10·0.2/2=1.0.", "strategy": ["Solve C1V1=C2V2 for C2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.0, "got": 1.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.2", "assumptions": [], "concept_id": null, "constraints": ["Conservative solute", "Volumes additive as given"], "context": {"field": "chemistry", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-dil-4-0-0-1-2-0-213546ddea62", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.65}, "field": "chemistry", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["C1=4.0", "V1=0.1", "V2=2.0"], "plan": ["Solve C1V1=C2V2 for C2"], "prompt": "Dilute 0.1 L of 4 mol/L solution to 2 L. What is the new concentration in mol/L (C1V1=C2V2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "C2=C1V1/V2=4·0.1/2=0.2.", "strategy": ["Solve C1V1=C2V2 for C2"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.2, "got": 0.2}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "53", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Linear calibration", "No noise term in this item"], "context": {"field": "applied", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-model-7-4-7-0-e812bc8fd125", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.3499999999999996}, "field": "applied", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=7", "b=4", "x=7"], "plan": ["Substitute into the affine model"], "prompt": "A calibrated sensor is modeled as y=7x+4. If the reading x=7, what is the modeled y?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "y=7·7+4=53.", "strategy": ["Substitute into the affine model"], "task_type": "modeling", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 53.0, "got": 53.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "53.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "39", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Linear calibration", "No noise term in this item"], "context": {"field": "applied", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-model-7-3-6-1-7cd187859606", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.5999999999999996}, "field": "applied", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=7", "b=-3", "x=6"], "plan": ["Substitute into the affine model"], "prompt": "A calibrated sensor is modeled as y=7x+-3. If the reading x=6, what is the modeled y?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "y=7·6+-3=39.", "strategy": ["Substitute into the affine model"], "task_type": "modeling", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 39.0, "got": 39.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "39.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "18", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Linear calibration", "No noise term in this item"], "context": {"field": "applied", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-model-2-2-8-2-762e48145d64", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.3499999999999996}, "field": "applied", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=2", "b=2", "x=8"], "plan": ["Substitute into the affine model"], "prompt": "A calibrated sensor is modeled as y=2x+2. If the reading x=8, what is the modeled y?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "y=2·8+2=18.", "strategy": ["Substitute into the affine model"], "task_type": "modeling", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 18.0, "got": 18.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "18.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Linear calibration", "No noise term in this item"], "context": {"field": "applied", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-model-3-2-6-3-15c47650ab17", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.3499999999999996}, "field": "applied", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=3", "b=2", "x=6"], "plan": ["Substitute into the affine model"], "prompt": "A calibrated sensor is modeled as y=3x+2. If the reading x=6, what is the modeled y?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "y=3·6+2=20.", "strategy": ["Substitute into the affine model"], "task_type": "modeling", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 20.0, "got": 20.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "61", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Linear calibration", "No noise term in this item"], "context": {"field": "applied", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-model-9-2-7-4-f8b89a2aa592", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.5999999999999996}, "field": "applied", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=9", "b=-2", "x=7"], "plan": ["Substitute into the affine model"], "prompt": "A calibrated sensor is modeled as y=9x+-2. If the reading x=7, what is the modeled y?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "y=9·7+-2=61.", "strategy": ["Substitute into the affine model"], "task_type": "modeling", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 61.0, "got": 61.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "61.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "24", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Linear calibration", "No noise term in this item"], "context": {"field": "applied", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-model-4-4-5-5-f10d42c576c1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 3.3499999999999996}, "field": "applied", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=4", "b=4", "x=5"], "plan": ["Substitute into the affine model"], "prompt": "A calibrated sensor is modeled as y=4x+4. If the reading x=5, what is the modeled y?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "y=4·5+4=24.", "strategy": ["Substitute into the affine model"], "task_type": "modeling", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 24.0, "got": 24.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "24.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2.4", "assumptions": [], "concept_id": "cs.data_structures", "constraints": ["Straight line", "Speed is the slope"], "context": {"field": "applied", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-slope-12-5-0-eda675a1583e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.525, "tests": 0.0, "total": 3.55}, "field": "applied", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["dy=12 m", "dx=5 s"], "plan": ["Divide rise by run"], "prompt": "On a distance-time graph, distance rises 12 m over 5 s of straight-line motion. What is the constant speed in m/s?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "speed = Δs/Δt = 12/5 = 2.4.", "strategy": ["Divide rise by run"], "task_type": "interpretation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.4, "got": 2.4}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": "cs.data_structures", "constraints": ["Straight line", "Speed is the slope"], "context": {"field": "applied", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-slope-12-4-1-32fab92c0a02", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.525, "tests": 0.0, "total": 3.55}, "field": "applied", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["dy=12 m", "dx=4 s"], "plan": ["Divide rise by run"], "prompt": "On a distance-time graph, distance rises 12 m over 4 s of straight-line motion. What is the constant speed in m/s?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "speed = Δs/Δt = 12/4 = 3.0.", "strategy": ["Divide rise by run"], "task_type": "interpretation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.0, "got": 3.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "cs.data_structures", "constraints": ["Straight line", "Speed is the slope"], "context": {"field": "applied", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-slope-10-5-2-dd92a8e02015", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.525, "tests": 0.0, "total": 3.55}, "field": "applied", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["dy=10 m", "dx=5 s"], "plan": ["Divide rise by run"], "prompt": "On a distance-time graph, distance rises 10 m over 5 s of straight-line motion. What is the constant speed in m/s?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "speed = Δs/Δt = 10/5 = 2.0.", "strategy": ["Divide rise by run"], "task_type": "interpretation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0, "got": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "cs.data_structures", "constraints": ["Straight line", "Speed is the slope"], "context": {"field": "applied", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-slope-8-4-3-2e6daa0033e9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.525, "tests": 0.0, "total": 3.55}, "field": "applied", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["dy=8 m", "dx=4 s"], "plan": ["Divide rise by run"], "prompt": "On a distance-time graph, distance rises 8 m over 4 s of straight-line motion. What is the constant speed in m/s?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "speed = Δs/Δt = 8/4 = 2.0.", "strategy": ["Divide rise by run"], "task_type": "interpretation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0, "got": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "cs.data_structures", "constraints": ["Straight line", "Speed is the slope"], "context": {"field": "applied", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-slope-10-2-4-44828c04aaa0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.525, "tests": 0.0, "total": 3.55}, "field": "applied", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["dy=10 m", "dx=2 s"], "plan": ["Divide rise by run"], "prompt": "On a distance-time graph, distance rises 10 m over 2 s of straight-line motion. What is the constant speed in m/s?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "speed = Δs/Δt = 10/2 = 5.0.", "strategy": ["Divide rise by run"], "task_type": "interpretation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0, "got": 5.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "193.6", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-8-11-5-5f5f0e381850", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=8 kg", "v=11 m/s", "r=5 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 8 kg moves in a horizontal circle of radius 5 m at 11 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 8·112/5 = 193.6.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 193.6, "got": 193.6}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "193.6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "343", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-7-7-1-afd6006290d0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=7 kg", "v=7 m/s", "r=1 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 7 kg moves in a horizontal circle of radius 1 m at 7 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 7·72/1 = 343.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 343.0, "got": 343.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "343.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "196", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-8-7-2-3d29ecc05e9e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=8 kg", "v=7 m/s", "r=2 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 8 kg moves in a horizontal circle of radius 2 m at 7 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 8·72/2 = 196.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 196.0, "got": 196.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "196.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "66.66666667", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-8-5-3-4c1ceb1710ca", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=8 kg", "v=5 m/s", "r=3 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 8 kg moves in a horizontal circle of radius 3 m at 5 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 8·52/3 = 66.66666666666667.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 66.66666666666667, "got": 66.66666666666667}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "66.66666666666667", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "81.66666667", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-5-7-3-94992d5bd913", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=5 kg", "v=7 m/s", "r=3 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 5 kg moves in a horizontal circle of radius 3 m at 7 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 5·72/3 = 81.66666666666667.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 81.66666666666667, "got": 81.66666666666667}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "81.66666666666667", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "500", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-5-10-1-75feb86b835a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=5 kg", "v=10 m/s", "r=1 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 5 kg moves in a horizontal circle of radius 1 m at 10 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 5·102/1 = 500.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 500.0, "got": 500.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "500.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "18", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-4-3-2-09ad0fe4b34f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=4 kg", "v=3 m/s", "r=2 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 4 kg moves in a horizontal circle of radius 2 m at 3 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 4·32/2 = 18.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 18.0, "got": 18.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "18.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "113.4", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-7-9-5-675a23d4b4da", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=7 kg", "v=9 m/s", "r=5 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 7 kg moves in a horizontal circle of radius 5 m at 9 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 7·92/5 = 113.4.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 113.4, "got": 113.4}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "113.4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "54", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-4-9-6-1c9f3c3da003", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=4 kg", "v=9 m/s", "r=6 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 4 kg moves in a horizontal circle of radius 6 m at 9 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 4·92/6 = 54.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 54.0, "got": 54.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "54.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "648", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-8-9-1-8044af99f293", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=8 kg", "v=9 m/s", "r=1 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 8 kg moves in a horizontal circle of radius 1 m at 9 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 8·92/1 = 648.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 648.0, "got": 648.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "648.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "36", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-2-6-2-73a74ef90058", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=2 kg", "v=6 m/s", "r=2 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 2 kg moves in a horizontal circle of radius 2 m at 6 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 2·62/2 = 36.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 36.0, "got": 36.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "36.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "58.33333333", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-7-5-3-ab3417ad7b44", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=7 kg", "v=5 m/s", "r=3 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 7 kg moves in a horizontal circle of radius 3 m at 5 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 7·52/3 = 58.333333333333336.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 58.333333333333336, "got": 58.333333333333336}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "58.333333333333336", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "97.2", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-6-9-5-ebeb6a864d68", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=6 kg", "v=9 m/s", "r=5 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 6 kg moves in a horizontal circle of radius 5 m at 9 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 6·92/5 = 97.2.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 97.2, "got": 97.2}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "97.2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "64", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-6-8-6-941f7d4f5abf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=6 kg", "v=8 m/s", "r=6 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 6 kg moves in a horizontal circle of radius 6 m at 8 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 6·82/6 = 64.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 64.0, "got": 64.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "64.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "49", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-6-7-6-31d1a15f87b6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=6 kg", "v=7 m/s", "r=6 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 6 kg moves in a horizontal circle of radius 6 m at 7 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 6·72/6 = 49.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 49.0, "got": 49.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "49.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "96", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-8-6-3-961b9578eb75", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=8 kg", "v=6 m/s", "r=3 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 8 kg moves in a horizontal circle of radius 3 m at 6 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 8·62/3 = 96.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 96.0, "got": 96.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "96.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "125", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-5-5-1-e61d3d65b8fd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=5 kg", "v=5 m/s", "r=1 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 5 kg moves in a horizontal circle of radius 1 m at 5 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 5·52/1 = 125.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 125.0, "got": 125.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "125.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "196", "assumptions": [], "concept_id": "science.newton", "constraints": ["Uniform circular motion", "SI units"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-cent-4-7-1-b7cc1e3dceb6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.675}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["m=4 kg", "v=7 m/s", "r=1 m"], "plan": ["Apply F=mv2/r"], "prompt": "A mass of 4 kg moves in a horizontal circle of radius 1 m at 7 m/s. What is the centripetal force in newtons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F = mv2/r = 4·72/1 = 196.0.", "strategy": ["Apply F=mv²/r"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 196.0, "got": 196.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "196.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2.7", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-3e-06-4e-06-0-2-1f5cb667630e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=3e-06", "q2=4e-06", "r=0.2"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 3e-06 C and 4e-06 C are 0.2 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·1.2e-11/0.04000000000000001 = 2.6999999999999993.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.6999999999999993, "got": 2.6999999999999993}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.6999999999999993", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.009", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-1e-06-1e-06-1-0-ae3dd1d41f56", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=1e-06", "q2=1e-06", "r=1.0"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 1e-06 C and 1e-06 C are 1.0 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·1e-12/1.0 = 0.009.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.009, "got": 0.009}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.009", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.288", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-2e-06-4e-06-0-5-97907d64e414", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=2e-06", "q2=4e-06", "r=0.5"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 2e-06 C and 4e-06 C are 0.5 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·8e-12/0.25 = 0.288.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.288, "got": 0.288}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.288", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.036", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-1e-06-1e-06-0-5-3ff104090286", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=1e-06", "q2=1e-06", "r=0.5"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 1e-06 C and 1e-06 C are 0.5 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·1e-12/0.25 = 0.036.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.036, "got": 0.036}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.036", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.45", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-1e-06-2e-06-0-2-6a28d406ada5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=1e-06", "q2=2e-06", "r=0.2"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 1e-06 C and 2e-06 C are 0.2 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·2e-12/0.04000000000000001 = 0.4499999999999999.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.4499999999999999, "got": 0.4499999999999999}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.4499999999999999", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.45", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-2e-06-1e-06-0-2-ffda0d42f071", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=2e-06", "q2=1e-06", "r=0.2"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 2e-06 C and 1e-06 C are 0.2 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·2e-12/0.04000000000000001 = 0.4499999999999999.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.4499999999999999, "got": 0.4499999999999999}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.4499999999999999", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.8", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-2e-06-1e-06-0-1-b248b3f1c8fc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=2e-06", "q2=1e-06", "r=0.1"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 2e-06 C and 1e-06 C are 0.1 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·2e-12/0.010000000000000002 = 1.7999999999999996.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.7999999999999996, "got": 1.7999999999999996}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.7999999999999996", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.35", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-3e-06-2e-06-0-2-d4e798f4a3e7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=3e-06", "q2=2e-06", "r=0.2"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 3e-06 C and 2e-06 C are 0.2 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·6e-12/0.04000000000000001 = 1.3499999999999996.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.3499999999999996, "got": 1.3499999999999996}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.3499999999999996", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5.4", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-3e-06-2e-06-0-1-fc16d2dadead", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=3e-06", "q2=2e-06", "r=0.1"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 3e-06 C and 2e-06 C are 0.1 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·6e-12/0.010000000000000002 = 5.399999999999999.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.399999999999999, "got": 5.399999999999999}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.399999999999999", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.144", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-1e-06-4e-06-0-5-c33fc7105339", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=1e-06", "q2=4e-06", "r=0.5"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 1e-06 C and 4e-06 C are 0.5 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·4e-12/0.25 = 0.144.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.144, "got": 0.144}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.144", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.036", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-2e-06-2e-06-1-0-c75d278f1bd6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=2e-06", "q2=2e-06", "r=1.0"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 2e-06 C and 2e-06 C are 1.0 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·4e-12/1.0 = 0.036.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.036, "got": 0.036}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.036", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3.6", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-2e-06-2e-06-0-1-0e2ee1721617", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=2e-06", "q2=2e-06", "r=0.1"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 2e-06 C and 2e-06 C are 0.1 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·4e-12/0.010000000000000002 = 3.599999999999999.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.599999999999999, "got": 3.599999999999999}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.599999999999999", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.018", "assumptions": [], "concept_id": "science.newton", "constraints": ["Coulomb's law", "Vacuum", "k=9.0e9"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "intermediate", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-coul-1e-06-2e-06-1-0-0abb144368c2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.625, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.575, "tests": 0.0, "total": 4.6}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["q1=1e-06", "q2=2e-06", "r=1.0"], "plan": ["Substitute into Coulomb's law"], "prompt": "Two point charges 1e-06 C and 2e-06 C are 1.0 m apart in vacuum. Magnitude of the Coulomb force in newtons? Use k=9.0e9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F=k|q1 q2|/r2 = 9e9·2e-12/1.0 = 0.018.", "strategy": ["Substitute into Coulomb's law"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.018, "got": 0.018}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.018", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3.313035075e-19", "assumptions": [], "concept_id": "science.energy", "constraints": ["E=hf", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ph-500000000000000-0-a97efa0512d5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 3.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=500000000000000.0 Hz"], "plan": ["Multiply Planck's constant by frequency"], "prompt": "A photon has frequency 5e+14 Hz. What is its energy in joules? Use h=6.62607015e-34 J·s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "E=hf=6.62607015e-34·500000000000000.0=3.313035075e-19.", "strategy": ["Multiply Planck's constant by frequency"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.313035075e-19, "got": 3.313035075e-19}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.313035075e-19", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3.97564209e-19", "assumptions": [], "concept_id": "science.energy", "constraints": ["E=hf", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ph-600000000000000-0-8f3684e232a1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 3.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=600000000000000.0 Hz"], "plan": ["Multiply Planck's constant by frequency"], "prompt": "A photon has frequency 6e+14 Hz. What is its energy in joules? Use h=6.62607015e-34 J·s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "E=hf=6.62607015e-34·600000000000000.0=3.9756420899999997e-19.", "strategy": ["Multiply Planck's constant by frequency"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.9756420899999997e-19, "got": 3.9756420899999997e-19}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.9756420899999997e-19", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4.638249105e-19", "assumptions": [], "concept_id": "science.energy", "constraints": ["E=hf", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ph-700000000000000-0-e3d15038ba94", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 3.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=700000000000000.0 Hz"], "plan": ["Multiply Planck's constant by frequency"], "prompt": "A photon has frequency 7e+14 Hz. What is its energy in joules? Use h=6.62607015e-34 J·s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "E=hf=6.62607015e-34·700000000000000.0=4.638249105e-19.", "strategy": ["Multiply Planck's constant by frequency"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.638249105e-19, "got": 4.638249105e-19}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.638249105e-19", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6.62607015e-19", "assumptions": [], "concept_id": "science.energy", "constraints": ["E=hf", "SI"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-ph-1000000000000000-0-747e1c263265", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 0.4, "prompt_length": 0.375, "tests": 0.0, "total": 3.1}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f=1000000000000000.0 Hz"], "plan": ["Multiply Planck's constant by frequency"], "prompt": "A photon has frequency 1e+15 Hz. What is its energy in joules? Use h=6.62607015e-34 J·s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "E=hf=6.62607015e-34·1000000000000000.0=6.62607015e-19.", "strategy": ["Multiply Planck's constant by frequency"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 6.62607015e-19, "got": 6.62607015e-19}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "6.62607015e-19", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "21400.81935", "assumptions": [], "concept_id": "science.newton", "constraints": ["Non-rotating sphere", "No atmosphere"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-esc-5-97e-24-1740000-0-c0c109ae8a4b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.475}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M=5.97e+24", "R=1740000.0"], "plan": ["Apply v=√(2GM/R)"], "prompt": "Escape speed from a sphere of mass 5.970e+24 kg and radius 1.740e+06 m? Use G=6.6743e-11. Answer in m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "v=sqrt(2GM/R)=21400.81935266772.", "strategy": ["Apply v=√(2GM/R)"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 21400.81935266772, "got": 21400.81935266772}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "21400.81935266772", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1692.933236", "assumptions": [], "concept_id": "science.newton", "constraints": ["Non-rotating sphere", "No atmosphere"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-esc-7-3e-22-3400000-0-a47ae6ab831c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.475}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M=7.3e+22", "R=3400000.0"], "plan": ["Apply v=√(2GM/R)"], "prompt": "Escape speed from a sphere of mass 7.300e+22 kg and radius 3.400e+06 m? Use G=6.6743e-11. Answer in m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "v=sqrt(2GM/R)=1692.933235888666.", "strategy": ["Apply v=√(2GM/R)"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1692.933235888666, "got": 1692.933235888666}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1692.933235888666", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "11184.9825", "assumptions": [], "concept_id": "science.newton", "constraints": ["Non-rotating sphere", "No atmosphere"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-esc-5-97e-24-6370000-0-b7b964eb53d7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.475}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M=5.97e+24", "R=6370000.0"], "plan": ["Apply v=√(2GM/R)"], "prompt": "Escape speed from a sphere of mass 5.970e+24 kg and radius 6.370e+06 m? Use G=6.6743e-11. Answer in m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "v=sqrt(2GM/R)=11184.982503114454.", "strategy": ["Apply v=√(2GM/R)"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 11184.982503114454, "got": 11184.982503114454}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "11184.982503114454", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "15309.66073", "assumptions": [], "concept_id": "science.newton", "constraints": ["Non-rotating sphere", "No atmosphere"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-esc-5-97e-24-3400000-0-1fb54bac959b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.475}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M=5.97e+24", "R=3400000.0"], "plan": ["Apply v=√(2GM/R)"], "prompt": "Escape speed from a sphere of mass 5.970e+24 kg and radius 3.400e+06 m? Use G=6.6743e-11. Answer in m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "v=sqrt(2GM/R)=15309.660733167992.", "strategy": ["Apply v=√(2GM/R)"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 15309.660733167992, "got": 15309.660733167992}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "15309.660733167992", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "11213.05026", "assumptions": [], "concept_id": "science.newton", "constraints": ["Non-rotating sphere", "No atmosphere"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-esc-6e-24-6370000-0-f8cb629e6dc1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.6, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.475}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["M=6e+24", "R=6370000.0"], "plan": ["Apply v=√(2GM/R)"], "prompt": "Escape speed from a sphere of mass 6.000e+24 kg and radius 6.370e+06 m? Use G=6.6743e-11. Answer in m/s.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "v=sqrt(2GM/R)=11213.050257416722.", "strategy": ["Apply v=√(2GM/R)"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 11213.050257416722, "got": 11213.050257416722}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "11213.050257416722", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "8", "assumptions": [], "concept_id": "science.waves", "constraints": ["Kepler's third law", "Same central mass"], "context": {"field": "astronomy", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kep-4-0-9147b36f2a77", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.8}, "field": "astronomy", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["T1=1.0", "a1=1.0", "a2=4.0"], "plan": ["Scale period by a^(3/2)"], "prompt": "A planet orbits with period 1.0 year at semi-major axis 1.0 AU. Another body has a=4.0 AU around the same star. Period in years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "T2∝a3 ⇒ T2=T1·(a2/a1)^(3/2)=8.0.", "strategy": ["Scale period by a^(3/2)"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 8.0, "got": 8.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "8.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "27", "assumptions": [], "concept_id": "science.waves", "constraints": ["Kepler's third law", "Same central mass"], "context": {"field": "astronomy", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kep-9-0-97bb79f889cc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.8}, "field": "astronomy", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["T1=1.0", "a1=1.0", "a2=9.0"], "plan": ["Scale period by a^(3/2)"], "prompt": "A planet orbits with period 1.0 year at semi-major axis 1.0 AU. Another body has a=9.0 AU around the same star. Period in years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "T2∝a3 ⇒ T2=T1·(a2/a1)^(3/2)=27.0.", "strategy": ["Scale period by a^(3/2)"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 27.0, "got": 27.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "27.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "64", "assumptions": [], "concept_id": "science.waves", "constraints": ["Kepler's third law", "Same central mass"], "context": {"field": "astronomy", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-kep-16-0-6d4a1b2ad843", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.6, "tests": 0.0, "total": 3.8}, "field": "astronomy", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["T1=1.0", "a1=1.0", "a2=16.0"], "plan": ["Scale period by a^(3/2)"], "prompt": "A planet orbits with period 1.0 year at semi-major axis 1.0 AU. Another body has a=16.0 AU around the same star. Period in years?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "T2∝a3 ⇒ T2=T1·(a2/a1)^(3/2)=64.0.", "strategy": ["Scale period by a^(3/2)"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 64.0, "got": 64.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "64.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "216", "assumptions": [], "concept_id": "science.energy", "constraints": ["Constant force", "θ from displacement"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-work-36-12-60-e2416005781a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.15}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=36 N", "d=12 m", "theta=60"], "plan": ["Apply W=Fd cosθ"], "prompt": "A constant force of 36 N acts through 12 m at 60° to the displacement. Work in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "W=Fd cosθ=36·12·cos(60°)=216.00000000000006.", "strategy": ["Apply W=Fd cosθ"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 216.00000000000006, "got": 216.00000000000006}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "216.00000000000006", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": [], "concept_id": "science.energy", "constraints": ["Constant force", "θ from displacement"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-work-8-5-60-2d8045552504", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.15}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=8 N", "d=5 m", "theta=60"], "plan": ["Apply W=Fd cosθ"], "prompt": "A constant force of 8 N acts through 5 m at 60° to the displacement. Work in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "W=Fd cosθ=8·5·cos(60°)=20.000000000000004.", "strategy": ["Apply W=Fd cosθ"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 20.000000000000004, "got": 20.000000000000004}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20.000000000000004", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "80", "assumptions": [], "concept_id": "science.energy", "constraints": ["Constant force", "θ from displacement"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-work-40-4-60-bdac5a2724d7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.15}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=40 N", "d=4 m", "theta=60"], "plan": ["Apply W=Fd cosθ"], "prompt": "A constant force of 40 N acts through 4 m at 60° to the displacement. Work in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "W=Fd cosθ=40·4·cos(60°)=80.00000000000001.", "strategy": ["Apply W=Fd cosθ"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 80.00000000000001, "got": 80.00000000000001}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "80.00000000000001", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "214.5", "assumptions": [], "concept_id": "science.energy", "constraints": ["Constant force", "θ from displacement"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-work-33-13-60-7c12ecc9f607", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.15}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=33 N", "d=13 m", "theta=60"], "plan": ["Apply W=Fd cosθ"], "prompt": "A constant force of 33 N acts through 13 m at 60° to the displacement. Work in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "W=Fd cosθ=33·13·cos(60°)=214.50000000000006.", "strategy": ["Apply W=Fd cosθ"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 214.50000000000006, "got": 214.50000000000006}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "214.50000000000006", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.469576159e-15", "assumptions": [], "concept_id": "science.energy", "constraints": ["Constant force", "θ from displacement"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-work-12-2-90-5087b0b46b28", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.4}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=12 N", "d=2 m", "theta=90"], "plan": ["Apply W=Fd cosθ"], "prompt": "A constant force of 12 N acts through 2 m at 90° to the displacement. Work in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "W=Fd cosθ=12·2·cos(90°)=1.4695761589768238e-15.", "strategy": ["Apply W=Fd cosθ"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.4695761589768238e-15, "got": 1.4695761589768238e-15}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.4695761589768238e-15", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "260", "assumptions": [], "concept_id": "science.energy", "constraints": ["Constant force", "θ from displacement"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-work-20-13-0-6d2c64eed4f6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.15}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=20 N", "d=13 m", "theta=0"], "plan": ["Apply W=Fd cosθ"], "prompt": "A constant force of 20 N acts through 13 m at 0° to the displacement. Work in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "W=Fd cosθ=20·13·cos(0°)=260.0.", "strategy": ["Apply W=Fd cosθ"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 260.0, "got": 260.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "260.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "240", "assumptions": [], "concept_id": "science.energy", "constraints": ["Constant force", "θ from displacement"], "context": {"field": "physics", "units_in_si_unless_stated": true}, "difficulty": "beginner", "domain": "science", "education_level": null, "evidence": null, "id": "or-science-sci-work-24-10-0-34dae98f3210", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.8999999999999999, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.15}, "field": "physics", "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["F=24 N", "d=10 m", "theta=0"], "plan": ["Apply W=Fd cosθ"], "prompt": "A constant force of 24 N acts through 10 m at 0° to the displacement. Work in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.science", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.science", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "W=Fd cosθ=24·10·cos(0°)=240.0.", "strategy": ["Apply W=Fd cosθ"], "task_type": "calculation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 240.0, "got": 240.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "240.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "-9", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-12-13-121-4d75563f43d7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 3.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 12x + (-13) = -121.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract -13 from both sides: 12x = -108. Divide by 12: x = -9.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-9"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-9", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-2", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-6-5-17-d9a1f0e61df6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 3.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 6x + (-5) = -17.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract -5 from both sides: 6x = -12. Divide by 6: x = -2.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-4-14-18-cd69e732a817", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 4x + (-14) = 18.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract -14 from both sides: 4x = 32. Divide by 4: x = 8.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "8"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-3-17-29-8811afe7cf95", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 3x + (17) = 29.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract 17 from both sides: 3x = 12. Divide by 3: x = 4.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-7", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-2-19-33-9551e23d6a68", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 3.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 2x + (-19) = -33.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract -19 from both sides: 2x = -14. Divide by 2: x = -7.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-7"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-5-6-29-d8a32874f16a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 5x + (-6) = 29.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract -6 from both sides: 5x = 35. Divide by 5: x = 7.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "7"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-11-19-69-9b5871f15ef7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 11x + (-19) = 69.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract -19 from both sides: 11x = 88. Divide by 11: x = 8.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "8"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-5-14-34-c72350530455", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 5x + (14) = 34.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract 14 from both sides: 5x = 20. Divide by 5: x = 4.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-5-8-53-a67a993358ce", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 5x + (8) = 53.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract 8 from both sides: 5x = 45. Divide by 5: x = 9.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "9"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "9", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-4", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-6-20-44-685abdb6f084", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 3.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 6x + (-20) = -44.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract -20 from both sides: 6x = -24. Divide by 6: x = -4.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-8-1-7-225524d6e9f4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 3.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 8x + (1) = -7.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract 1 from both sides: 8x = -8. Divide by 8: x = -1.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-4-7-3-71926b7af090", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 3.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 4x + (-7) = -3.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract -7 from both sides: 4x = 4. Divide by 4: x = 1.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-3-15-6-ad4a7a3f32d8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 3.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 3x + (-15) = -6.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract -15 from both sides: 3x = 9. Divide by 3: x = 3.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "3"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "python.variables", "constraints": ["Exact integer or rational solution", "Single real unknown"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-linear-3-2-8-187f98fcc790", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Move constants", "Divide by the coefficient of x", "Simplify"], "prompt": "Solve for x: 3x + (2) = 8.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Isolate the variable. Subtract 2 from both sides: 3x = 6. Divide by 3: x = 2.", "strategy": ["Move constants", "Divide by the coefficient of x", "Simplify"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-2, 3", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-1-3-2-b4a675fa78dc", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of x**2 - x - 6 = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (3))(x - (-2)). The roots are 3 and -2.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-2, 3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1, 5", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-1-5-1-9dee00058d30", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 3.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of x**2 - 6*x + 5 = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (5))(x - (1)). The roots are 5 and 1.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1, 5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-5, 0", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-1-0-5-96d620a8a17e", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.95}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of x**2 + 5*x = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (0))(x - (-5)). The roots are 0 and -5.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-5, 0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3, 4", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-1-4-3-ec179f321d28", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 3.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of x**2 - 7*x + 12 = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (4))(x - (3)). The roots are 4 and 3.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "3, 4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-3, 3", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-1-3-3-406a7891f49e", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of x**2 - 9 = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (3))(x - (-3)). The roots are 3 and -3.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-3, 3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-6, 4", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-1-6-4-c6e4f7bc8bcc", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 4.125}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of x**2 + 2*x - 24 = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (-6))(x - (4)). The roots are -6 and 4.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-6, 4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-2, 6", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-1-6-2-a00a277c1266", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 4.125}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of x**2 - 4*x - 12 = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (6))(x - (-2)). The roots are 6 and -2.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-2, 6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-5, -3", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-2-3-5-d083f7947ef1", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 4.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of 2*x**2 + 16*x + 30 = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (-3))(x - (-5)). The roots are -3 and -5.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-5, -3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-2, 1", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-1-2-1-cffaf993fa69", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of x**2 + x - 2 = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (-2))(x - (1)). The roots are -2 and 1.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-2, 1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-4, -1", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-1-4-1-1ee58ae1f76e", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 4.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of x**2 + 5*x + 4 = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (-4))(x - (-1)). The roots are -4 and -1.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-4, -1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-3, 4", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-1-3-4-148083f437f0", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of x**2 - x - 12 = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (-3))(x - (4)). The roots are -3 and 4.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-3, 4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4, 5", "assumptions": [], "concept_id": null, "constraints": ["Work over the rationals", "Report every root"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-quad-1-5-4-f81dcf8debdb", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 3.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "prompt": "Find all roots of x**2 - 9*x + 20 = 0.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The monic factorisation is proportional to (x - (5))(x - (4)). The roots are 5 and 4.", "strategy": ["Identify a quadratic", "Factor or use the quadratic formula", "Check by substitution"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "4, 5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "x=4, y=5", "assumptions": [], "concept_id": null, "constraints": ["Unique real solution", "Integer coefficients"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sys-2-5-2-2-33-18-fc71ffd8bdf9", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "prompt": "Solve the system: 2x + 5y = 33; 2x + 2y = 18.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use elimination or Cramer's rule. The unique solution of this invertible 2×2 system is x = 4, y = 5.", "strategy": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "x=4, y=5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "x=2, y=1", "assumptions": [], "concept_id": null, "constraints": ["Unique real solution", "Integer coefficients"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sys-3-5-2-3-11-7-6467f6b25338", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "prompt": "Solve the system: 3x + 5y = 11; 2x + 3y = 7.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use elimination or Cramer's rule. The unique solution of this invertible 2×2 system is x = 2, y = 1.", "strategy": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "x=2, y=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "x=-5, y=-2", "assumptions": [], "concept_id": null, "constraints": ["Unique real solution", "Integer coefficients"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sys-1-3-4-3-11-26-e6c6912e2c1f", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "prompt": "Solve the system: 1x + 3y = -11; 4x + 3y = -26.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use elimination or Cramer's rule. The unique solution of this invertible 2×2 system is x = -5, y = -2.", "strategy": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "x=-5, y=-2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "x=-4, y=-2", "assumptions": [], "concept_id": null, "constraints": ["Unique real solution", "Integer coefficients"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sys-5-3-2-4-26-16-16b0e7c43370", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "prompt": "Solve the system: 5x + 3y = -26; 2x + 4y = -16.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use elimination or Cramer's rule. The unique solution of this invertible 2×2 system is x = -4, y = -2.", "strategy": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "x=-4, y=-2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "x=1, y=5", "assumptions": [], "concept_id": null, "constraints": ["Unique real solution", "Integer coefficients"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sys-4-2-3-2-14-13-28349a1d5883", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "prompt": "Solve the system: 4x + 2y = 14; 3x + 2y = 13.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use elimination or Cramer's rule. The unique solution of this invertible 2×2 system is x = 1, y = 5.", "strategy": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "x=1, y=5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "x=-2, y=3", "assumptions": [], "concept_id": null, "constraints": ["Unique real solution", "Integer coefficients"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sys-5-3-5-4-1-2-15b78eb33a54", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.5500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "prompt": "Solve the system: 5x + 3y = -1; 5x + 4y = 2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use elimination or Cramer's rule. The unique solution of this invertible 2×2 system is x = -2, y = 3.", "strategy": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "x=-2, y=3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "x=4, y=1", "assumptions": [], "concept_id": null, "constraints": ["Unique real solution", "Integer coefficients"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sys-3-2-2-5-14-13-2af670d0cf68", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "prompt": "Solve the system: 3x + 2y = 14; 2x + 5y = 13.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use elimination or Cramer's rule. The unique solution of this invertible 2×2 system is x = 4, y = 1.", "strategy": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "x=4, y=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "x=2, y=-4", "assumptions": [], "concept_id": null, "constraints": ["Unique real solution", "Integer coefficients"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sys-1-1-2-3-2-8-a8ccffa595f5", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "prompt": "Solve the system: 1x + 1y = -2; 2x + 3y = -8.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use elimination or Cramer's rule. The unique solution of this invertible 2×2 system is x = 2, y = -4.", "strategy": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "x=2, y=-4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "x=5, y=1", "assumptions": [], "concept_id": null, "constraints": ["Unique real solution", "Integer coefficients"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sys-5-1-4-4-26-24-a5446f13576b", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "prompt": "Solve the system: 5x + 1y = 26; 4x + 4y = 24.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use elimination or Cramer's rule. The unique solution of this invertible 2×2 system is x = 5, y = 1.", "strategy": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "x=5, y=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "x=4, y=2", "assumptions": [], "concept_id": null, "constraints": ["Unique real solution", "Integer coefficients"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sys-5-3-5-1-26-22-81f2be928ff4", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "prompt": "Solve the system: 5x + 3y = 26; 5x + 1y = 22.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use elimination or Cramer's rule. The unique solution of this invertible 2×2 system is x = 4, y = 2.", "strategy": ["Write the coefficient matrix", "Invert or eliminate", "Back-substitute"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "x=4, y=2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-5/3", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-2-6-6-3-9163098bad49", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.95}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 2/6 - 6/3 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 1/3 - 2 = -5/3.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-5/3"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-5/3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-7-4-8-2-688dc561faed", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 7/4 * 8/2 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 7/4 * 4 = 7.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "7"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "15/4", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-5-4-9-3-f81d9afa0fa1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 5/4 * 9/3 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 5/4 * 3 = 15/4.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "15/4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "15/4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10/7", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-5-5-3-7-296aea2e4c66", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 5/5 + 3/7 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 1 + 3/7 = 10/7.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "10/7"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "10/7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "31/6", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-9-2-6-9-005f9744170e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 9/2 + 6/9 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 9/2 + 2/3 = 31/6.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "31/6"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "31/6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9/7", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-2-7-5-5-ebfb99765ce4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 2/7 + 5/5 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 2/7 + 1 = 9/7.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "9/7"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "9/7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "14/9", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-4-3-2-9-f05a970eeffc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 4/3 + 2/9 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 4/3 + 2/9 = 14/9.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "14/9"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "14/9", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3/4", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-9-4-3-9-a3669b96345a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 9/4 * 3/9 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 9/4 * 1/3 = 3/4.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "3/4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "3/4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "13/8", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-3-6-9-8-cf4bfd5e67cd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 3/6 + 9/8 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 1/2 + 9/8 = 13/8.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "13/8"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "13/8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9/8", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-9-5-5-8-f7a00e0e8b38", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 9/5 * 5/8 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 9/5 * 5/8 = 9/8.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "9/8"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "9/8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5/3", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-6-9-9-9-2615fee5a6cc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 6/9 + 9/9 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 2/3 + 1 = 5/3.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5/3"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5/3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "38/35", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact arithmetic", "Lowest terms"], "context": {"method": "symbolic", "topic": "arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-frac-4-5-2-7-11d89528186c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic"}, "natural_language": "en", "observations": [], "plan": ["Write each term as a Rational", "Apply the operator", "Reduce"], "prompt": "Compute 4/5 + 2/7 as a simplified rational number.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Convert to rationals and simplify: 4/5 + 2/7 = 38/35.", "strategy": ["Write each term as a Rational", "Apply the operator", "Reduce"], "task_type": "arithmetic", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "38/35"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "38/35", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gcd-76-35-48608b070db3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute GCD(76, 35).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(76, 35) = 1, so lcm(76, 35) = 76×35/gcd = 2660. Requested value: 1.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gcd-6-15-7be31cc9f5d6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute GCD(6, 15).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(6, 15) = 3, so lcm(6, 15) = 6×15/gcd = 30. Requested value: 3.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gcd-35-14-c329c9d125eb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute GCD(35, 14).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(35, 14) = 7, so lcm(35, 14) = 35×14/gcd = 70. Requested value: 7.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gcd-48-15-77e905ec88a3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute GCD(48, 15).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(48, 15) = 3, so lcm(48, 15) = 48×15/gcd = 240. Requested value: 3.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gcd-41-68-579bb3981027", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute GCD(41, 68).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(41, 68) = 1, so lcm(41, 68) = 41×68/gcd = 2788. Requested value: 1.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1650", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-lcm-75-22-3dcbe4b8e3a4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute LCM(75, 22).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(75, 22) = 1, so lcm(75, 22) = 75×22/gcd = 1650. Requested value: 1650.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "1650", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2442", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-lcm-37-66-3bb7bf18f34d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute LCM(37, 66).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(37, 66) = 1, so lcm(37, 66) = 37×66/gcd = 2442. Requested value: 2442.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "2442", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gcd-30-18-92d939ac6981", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute GCD(30, 18).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(30, 18) = 6, so lcm(30, 18) = 30×18/gcd = 90. Requested value: 6.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3111", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-lcm-61-51-21c8fb0837b1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute LCM(61, 51).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(61, 51) = 1, so lcm(61, 51) = 61×51/gcd = 3111. Requested value: 3111.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "3111", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gcd-58-65-3ebcafba1ecf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute GCD(58, 65).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(58, 65) = 1, so lcm(58, 65) = 58×65/gcd = 3770. Requested value: 1.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "234", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-lcm-18-13-7f80658b0bb1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute LCM(18, 13).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(18, 13) = 1, so lcm(18, 13) = 18×13/gcd = 234. Requested value: 234.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "234", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Positive integers", "Exact integer result"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gcd-49-19-e02d5d09c85f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.075, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "prompt": "Compute GCD(49, 19).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "gcd(49, 19) = 1, so lcm(49, 19) = 49×19/gcd = 931. Requested value: 1.", "strategy": ["Euclidean algorithm for gcd", "Use lcm = |ab|/gcd if needed"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": null, "constraints": ["Non-negative remainder in 0..m-1"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-mod-59-6-6-761abf1a023d", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.1, "tests": 0.0, "total": 1.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Reduce the base modulo m", "Square-and-multiply"], "prompt": "Compute 59^6 mod 6.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use modular exponentiation: 59^6 ≡ 1 (mod 6).", "strategy": ["Reduce the base modulo m", "Square-and-multiply"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": null, "constraints": ["Non-negative remainder in 0..m-1"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-mod-124-5-5-e591132ef5ea", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.1, "tests": 0.0, "total": 1.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Reduce the base modulo m", "Square-and-multiply"], "prompt": "Compute 124^5 mod 5.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use modular exponentiation: 124^5 ≡ 4 (mod 5).", "strategy": ["Reduce the base modulo m", "Square-and-multiply"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "4", "assumptions": [], "concept_id": null, "constraints": ["Non-negative remainder in 0..m-1"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-mod-52-2-9-24dc9d75b7d1", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.1, "tests": 0.0, "total": 1.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Reduce the base modulo m", "Square-and-multiply"], "prompt": "Compute 52^2 mod 9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Use modular exponentiation: 52^2 ≡ 4 (mod 9).", "strategy": ["Reduce the base modulo m", "Square-and-multiply"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12*x**2 - 1", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-4-3-1-6-9edd8b34b7e5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 5.1}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: 4*x**3 - x + 6.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:15Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[4x^3] = 12x^2, plus -1. Derivative: 12*x**2 - 1.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "12*x**2 - 1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12*x + 3", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-6-2-3-7-ec4251d9c600", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 4.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: 6*x**2 + 3*x + 7.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[6x^2] = 12x^1, plus 3. Derivative: 12*x + 3.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "12*x + 3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12*x**3 - 2", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-3-4-2-7-538dfb7eeefd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 5.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: 3*x**4 - 2*x - 7.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[3x^4] = 12x^3, plus -2. Derivative: 12*x**3 - 2.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "12*x**3 - 2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12*x", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-6-2-0-7-a8ddcb8214f1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 4.050000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: 6*x**2 - 7.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[6x^2] = 12x^1, plus 0. Derivative: 12*x.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "12*x", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10*x + 3", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-5-2-3-3-b51720dae131", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 4.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: 5*x**2 + 3*x - 3.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[5x^2] = 10x^1, plus 3. Derivative: 10*x + 3.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "10*x + 3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8*x**3 - 4", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-2-4-4-6-6674b5e83bf8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 5.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: 2*x**4 - 4*x - 6.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[2x^4] = 8x^3, plus -4. Derivative: 8*x**3 - 4.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "8*x**3 - 4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16*x**3 - 4", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-4-4-4-1-d6369c59bec1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 5.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: 4*x**4 - 4*x - 1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[4x^4] = 16x^3, plus -4. Derivative: 16*x**3 - 4.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "16*x**3 - 4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20*x**3 - 4", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-5-4-4-5-b46c62301853", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 5.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: 5*x**4 - 4*x + 5.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[5x^4] = 20x^3, plus -4. Derivative: 20*x**3 - 4.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "20*x**3 - 4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6*x - 2", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-3-2-2-2-6c9a23083f3c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 4.725}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: 3*x**2 - 2*x + 2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[3x^2] = 6x^1, plus -2. Derivative: 6*x - 2.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "6*x - 2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12*x**2 - 3", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-4-3-3-1-e9a11fd78926", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 5.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: 4*x**3 - 3*x + 1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[4x^3] = 12x^2, plus -3. Derivative: 12*x**2 - 3.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "12*x**2 - 3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4*x**3 - 5", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-1-4-5-6-bf034e01159d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 5.1}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: x**4 - 5*x + 6.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[1x^4] = 4x^3, plus -5. Derivative: 4*x**3 - 5.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "4*x**3 - 5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4*x**3 + 3", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Symbolic derivative", "Do not expand unnecessarily"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-deriv-1-4-3-2-3c27a1444afe", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 4.975}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "prompt": "Differentiate with respect to x: x**4 + 3*x - 2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: d/dx[1x^4] = 4x^3, plus 3. Derivative: 4*x**3 + 3.", "strategy": ["Apply the power rule termwise", "Differentiate the linear term", "Constant vanishes"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "4*x**3 + 3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16/3", "assumptions": [], "concept_id": "math.calculus", "constraints": ["Exact value", "Real interval"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-int-2-2-0-2-185fd78c0d27", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 3.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Find an antiderivative", "Apply the fundamental theorem"], "prompt": "Evaluate the definite integral ∫_0^2 2*x**2 dx.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Antiderivative is 2x^3/3. Evaluate from 0 to 2: 16/3.", "strategy": ["Find an antiderivative", "Apply the fundamental theorem"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5.33333333333333"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "16/3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "128/3", "assumptions": [], "concept_id": "math.calculus", "constraints": ["Exact value", "Real interval"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-int-2-2-0-4-9c4cb65474ca", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 3.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Find an antiderivative", "Apply the fundamental theorem"], "prompt": "Evaluate the definite integral ∫_0^4 2*x**2 dx.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Antiderivative is 2x^3/3. Evaluate from 0 to 4: 128/3.", "strategy": ["Find an antiderivative", "Apply the fundamental theorem"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "42.6666666666667"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "128/3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": [], "concept_id": "math.calculus", "constraints": ["Exact value", "Real interval"], "context": {"method": "symbolic", "topic": "calculus"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-int-5-3-0-2-463f2eb9b44d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 3.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "calculus"}, "natural_language": "en", "observations": [], "plan": ["Find an antiderivative", "Apply the fundamental theorem"], "prompt": "Evaluate the definite integral ∫_0^2 5*x**3 dx.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Antiderivative is 5x^4/4. Evaluate from 0 to 2: 20.", "strategy": ["Find an antiderivative", "Apply the fundamental theorem"], "task_type": "calculus", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "20.0000000000000"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "20", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "1", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact radical or rational form", "No decimal approximation"], "context": {"method": "symbolic", "topic": "trigonometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-trig-sin-pi-2-ec9cc62be726", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.15, "tests": 0.0, "total": 3.125}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "trigonometry"}, "natural_language": "en", "observations": [], "plan": ["Recall the unit circle", "Reduce the angle if needed", "Simplify"], "prompt": "Give the exact value of sin(pi/2).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "This is a standard unit-circle value: sin(pi/2) = 1.", "strategy": ["Recall the unit circle", "Reduce the angle if needed", "Simplify"], "task_type": "trigonometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rect-5-4-5031addb7d9c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.9}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A rectangle has width 5 and height 4. What is its area?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Area = width × height = 5×4 = 20.", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "20"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "20", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16*pi", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-circle-4-59a9af41fd77", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 3.15}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A circle has radius 4. Give its area in terms of pi.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Area = πr2 = π·42 = 16*pi.", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "16*pi"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "16*pi", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "sqrt(137)", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-hyp-11-4-ae751116b77a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 3.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A right triangle has legs 11 and 4. What is the hypotenuse?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Pythagoras: sqrt(112 + 42) = sqrt(137).", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "sqrt(137)"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "sqrt(137)", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7*sqrt(39)/4", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-heron-7-10-4-ae3d00cd544b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 3.975}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A triangle has side lengths 7, 10, and 4. Give its area using Heron's formula.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "s = 21/2. Area = sqrt(s(s-a)(s-b)(s-c)) = 7*sqrt(39)/4.", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "7*sqrt(39)/4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "7*sqrt(39)/4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "90", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rect-15-6-c04d01a8e563", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.9}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A rectangle has width 15 and height 6. What is its area?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Area = width × height = 15×6 = 90.", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "90"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "90", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4*pi", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-circle-2-1a825fc995d5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 3.15}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A circle has radius 2. Give its area in terms of pi.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Area = πr2 = π·22 = 4*pi.", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "4*pi"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "4*pi", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "sqrt(130)", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-hyp-7-9-f44bfa72f310", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 3.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A right triangle has legs 7 and 9. What is the hypotenuse?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Pythagoras: sqrt(72 + 92) = sqrt(130).", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "sqrt(130)"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "sqrt(130)", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "45", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rect-9-5-3954127617f7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.9}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A rectangle has width 9 and height 5. What is its area?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Area = width × height = 9×5 = 45.", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "45"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "45", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "49*pi", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-circle-7-3fa2291ecb4e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 3.15}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A circle has radius 7. Give its area in terms of pi.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Area = πr2 = π·72 = 49*pi.", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "49*pi"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "49*pi", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3*sqrt(41)", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-hyp-15-12-9c59ce2eb82a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 3.275}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A right triangle has legs 15 and 12. What is the hypotenuse?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Pythagoras: sqrt(152 + 122) = 3*sqrt(41).", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "3*sqrt(41)"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "3*sqrt(41)", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3*sqrt(119)/4", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-heron-8-4-5-de607d2bbb30", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 3.975}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A triangle has side lengths 8, 4, and 5. Give its area using Heron's formula.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "s = 17/2. Area = sqrt(s(s-a)(s-b)(s-c)) = 3*sqrt(119)/4.", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "3*sqrt(119)/4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "3*sqrt(119)/4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "49", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rect-7-7-6bd78ba8853e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.9}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A rectangle has width 7 and height 7. What is its area?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Area = width × height = 7×7 = 49.", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "49"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "49", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "64*pi", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-circle-8-0d1409bb2370", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 3.15}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A circle has radius 8. Give its area in terms of pi.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Area = πr2 = π·82 = 64*pi.", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "64*pi"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "64*pi", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3*sqrt(5)", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-hyp-3-6-f1750d8df3cf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 3.275}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A right triangle has legs 3 and 6. What is the hypotenuse?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Pythagoras: sqrt(32 + 62) = 3*sqrt(5).", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "3*sqrt(5)"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "3*sqrt(5)", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10*sqrt(3)", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value", "Euclidean plane"], "context": {"method": "symbolic", "topic": "geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-heron-7-8-5-1a14bcd7ea6a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometry"}, "natural_language": "en", "observations": [], "plan": ["Identify the formula", "Substitute", "Simplify"], "prompt": "A triangle has side lengths 7, 8, and 5. Give its area using Heron's formula.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "s = 10. Area = sqrt(s(s-a)(s-b)(s-c)) = 10*sqrt(3).", "strategy": ["Identify the formula", "Substitute", "Simplify"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "10*sqrt(3)"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "10*sqrt(3)", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "84", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comb-c-9-3-96705a068460", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 1.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply the factorial definition", "Simplify"], "prompt": "Compute C(9, 3) = n choose k.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k) = n! / (k!(n-k)!) = 84.", "strategy": ["Apply the factorial definition", "Simplify"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "84"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "84", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "110", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comb-p-11-2-2484a27a3181", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 1.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply the factorial definition", "Simplify"], "prompt": "Compute P(11, 2) = n permute k.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "P(n,k) = n! / (n-k)! = 110.", "strategy": ["Apply the factorial definition", "Simplify"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "110"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "110", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "336", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comb-p-8-3-cdc48634c80e", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 1.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply the factorial definition", "Simplify"], "prompt": "Compute P(8, 3) = n permute k.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "P(n,k) = n! / (n-k)! = 336.", "strategy": ["Apply the factorial definition", "Simplify"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "336"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "336", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "210", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comb-c-10-4-dac2dc886701", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 1.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply the factorial definition", "Simplify"], "prompt": "Compute C(10, 4) = n choose k.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k) = n! / (k!(n-k)!) = 210.", "strategy": ["Apply the factorial definition", "Simplify"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "210"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "210", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "28", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comb-c-8-2-ecad6b019cea", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 1.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply the factorial definition", "Simplify"], "prompt": "Compute C(8, 2) = n choose k.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k) = n! / (k!(n-k)!) = 28.", "strategy": ["Apply the factorial definition", "Simplify"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "28"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "28", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7920", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comb-p-11-4-0d02f0dbc4f8", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 1.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply the factorial definition", "Simplify"], "prompt": "Compute P(11, 4) = n permute k.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "P(n,k) = n! / (n-k)! = 7920.", "strategy": ["Apply the factorial definition", "Simplify"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "7920"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "7920", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "360", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comb-p-6-4-ced875bf4eb9", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 1.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply the factorial definition", "Simplify"], "prompt": "Compute P(6, 4) = n permute k.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "P(n,k) = n! / (n-k)! = 360.", "strategy": ["Apply the factorial definition", "Simplify"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "360"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "360", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "330", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comb-c-11-4-e85821050b80", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 1.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply the factorial definition", "Simplify"], "prompt": "Compute C(11, 4) = n choose k.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k) = n! / (k!(n-k)!) = 330.", "strategy": ["Apply the factorial definition", "Simplify"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "330"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "330", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "15", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comb-c-6-4-1778498196c7", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 1.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply the factorial definition", "Simplify"], "prompt": "Compute C(6, 4) = n choose k.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k) = n! / (k!(n-k)!) = 15.", "strategy": ["Apply the factorial definition", "Simplify"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "15"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "15", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "36", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comb-c-9-2-b55bf6e229f2", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 1.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply the factorial definition", "Simplify"], "prompt": "Compute C(9, 2) = n choose k.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k) = n! / (k!(n-k)!) = 36.", "strategy": ["Apply the factorial definition", "Simplify"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "36"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "36", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "256/2187", "assumptions": [], "concept_id": "math.probability", "constraints": ["Independent trials", "Exact rational probability"], "context": {"method": "symbolic", "topic": "probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-9-1-1-3-5f056efe4a23", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "probability"}, "natural_language": "en", "observations": [], "plan": ["Identify n, k, p", "Apply the binomial formula"], "prompt": "A Bernoulli trial succeeds with probability 1/3. In 9 independent trials, what is P(exactly 1 successes)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Binomial pmf: C(9,1) 1/3^1 (1-1/3)^8 = 256/2187.", "strategy": ["Identify n, k, p", "Apply the binomial formula"], "task_type": "probability", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "256/2187"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "256/2187", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1280/6561", "assumptions": [], "concept_id": "math.probability", "constraints": ["Independent trials", "Exact rational probability"], "context": {"method": "symbolic", "topic": "probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-10-2-1-3-204d33d77a12", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "probability"}, "natural_language": "en", "observations": [], "plan": ["Identify n, k, p", "Apply the binomial formula"], "prompt": "A Bernoulli trial succeeds with probability 1/3. In 10 independent trials, what is P(exactly 2 successes)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Binomial pmf: C(10,2) 1/3^2 (1-1/3)^8 = 1280/6561.", "strategy": ["Identify n, k, p", "Apply the binomial formula"], "task_type": "probability", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1280/6561"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1280/6561", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5103/16384", "assumptions": [], "concept_id": "math.probability", "constraints": ["Independent trials", "Exact rational probability"], "context": {"method": "symbolic", "topic": "probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-7-2-1-4-cbcae1049ed4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "probability"}, "natural_language": "en", "observations": [], "plan": ["Identify n, k, p", "Apply the binomial formula"], "prompt": "A Bernoulli trial succeeds with probability 1/4. In 7 independent trials, what is P(exactly 2 successes)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Binomial pmf: C(7,2) 1/4^2 (1-1/4)^5 = 5103/16384.", "strategy": ["Identify n, k, p", "Apply the binomial formula"], "task_type": "probability", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5103/16384"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5103/16384", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "512/2187", "assumptions": [], "concept_id": "math.probability", "constraints": ["Independent trials", "Exact rational probability"], "context": {"method": "symbolic", "topic": "probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-9-2-1-3-f3501729e8b0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "probability"}, "natural_language": "en", "observations": [], "plan": ["Identify n, k, p", "Apply the binomial formula"], "prompt": "A Bernoulli trial succeeds with probability 1/3. In 9 independent trials, what is P(exactly 2 successes)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Binomial pmf: C(9,2) 1/3^2 (1-1/3)^7 = 512/2187.", "strategy": ["Identify n, k, p", "Apply the binomial formula"], "task_type": "probability", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "512/2187"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "512/2187", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "405/1048576", "assumptions": [], "concept_id": "math.probability", "constraints": ["Independent trials", "Exact rational probability"], "context": {"method": "symbolic", "topic": "probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-10-2-3-4-e876383e7d71", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "probability"}, "natural_language": "en", "observations": [], "plan": ["Identify n, k, p", "Apply the binomial formula"], "prompt": "A Bernoulli trial succeeds with probability 3/4. In 10 independent trials, what is P(exactly 2 successes)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Binomial pmf: C(10,2) 3/4^2 (1-3/4)^8 = 405/1048576.", "strategy": ["Identify n, k, p", "Apply the binomial formula"], "task_type": "probability", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "405/1048576"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "405/1048576", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "236196/1953125", "assumptions": [], "concept_id": "math.probability", "constraints": ["Independent trials", "Exact rational probability"], "context": {"method": "symbolic", "topic": "probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-10-2-2-5-336fe3b3bafe", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "probability"}, "natural_language": "en", "observations": [], "plan": ["Identify n, k, p", "Apply the binomial formula"], "prompt": "A Bernoulli trial succeeds with probability 2/5. In 10 independent trials, what is P(exactly 2 successes)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Binomial pmf: C(10,2) 2/5^2 (1-2/5)^8 = 236196/1953125.", "strategy": ["Identify n, k, p", "Apply the binomial formula"], "task_type": "probability", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "236196/1953125"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "236196/1953125", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "432/3125", "assumptions": [], "concept_id": "math.probability", "constraints": ["Independent trials", "Exact rational probability"], "context": {"method": "symbolic", "topic": "probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-6-2-3-5-69cd9e543a20", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "probability"}, "natural_language": "en", "observations": [], "plan": ["Identify n, k, p", "Apply the binomial formula"], "prompt": "A Bernoulli trial succeeds with probability 3/5. In 6 independent trials, what is P(exactly 2 successes)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Binomial pmf: C(6,2) 3/5^2 (1-3/5)^4 = 432/3125.", "strategy": ["Identify n, k, p", "Apply the binomial formula"], "task_type": "probability", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "432/3125"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "432/3125", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "32805/131072", "assumptions": [], "concept_id": "math.probability", "constraints": ["Independent trials", "Exact rational probability"], "context": {"method": "symbolic", "topic": "probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-10-3-1-4-a8bf0fb39a53", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "probability"}, "natural_language": "en", "observations": [], "plan": ["Identify n, k, p", "Apply the binomial formula"], "prompt": "A Bernoulli trial succeeds with probability 1/4. In 10 independent trials, what is P(exactly 3 successes)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Binomial pmf: C(10,3) 1/4^3 (1-1/4)^7 = 32805/131072.", "strategy": ["Identify n, k, p", "Apply the binomial formula"], "task_type": "probability", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "32805/131072"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "32805/131072", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1701/8192", "assumptions": [], "concept_id": "math.probability", "constraints": ["Independent trials", "Exact rational probability"], "context": {"method": "symbolic", "topic": "probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-8-3-1-4-fa48fcb19d1c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "probability"}, "natural_language": "en", "observations": [], "plan": ["Identify n, k, p", "Apply the binomial formula"], "prompt": "A Bernoulli trial succeeds with probability 1/4. In 8 independent trials, what is P(exactly 3 successes)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Binomial pmf: C(8,3) 1/4^3 (1-1/4)^5 = 1701/8192.", "strategy": ["Identify n, k, p", "Apply the binomial formula"], "task_type": "probability", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1701/8192"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1701/8192", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7/128", "assumptions": [], "concept_id": "math.probability", "constraints": ["Independent trials", "Exact rational probability"], "context": {"method": "symbolic", "topic": "probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-7-1-1-2-fd75508a6d9f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "probability"}, "natural_language": "en", "observations": [], "plan": ["Identify n, k, p", "Apply the binomial formula"], "prompt": "A Bernoulli trial succeeds with probability 1/2. In 7 independent trials, what is P(exactly 1 successes)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Binomial pmf: C(7,1) 1/2^1 (1-1/2)^6 = 7/128.", "strategy": ["Identify n, k, p", "Apply the binomial formula"], "task_type": "probability", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "7/128"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "7/128", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "112/6561", "assumptions": [], "concept_id": "math.probability", "constraints": ["Independent trials", "Exact rational probability"], "context": {"method": "symbolic", "topic": "probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-8-2-2-3-7549a0d36182", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "probability"}, "natural_language": "en", "observations": [], "plan": ["Identify n, k, p", "Apply the binomial formula"], "prompt": "A Bernoulli trial succeeds with probability 2/3. In 8 independent trials, what is P(exactly 2 successes)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Binomial pmf: C(8,2) 2/3^2 (1-2/3)^6 = 112/6561.", "strategy": ["Identify n, k, p", "Apply the binomial formula"], "task_type": "probability", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "112/6561"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "112/6561", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Population formulas", "Exact rational"], "context": {"method": "symbolic", "topic": "statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-stat-mean-6-3-10-17-20-11-3-1f164e952e35", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "statistics"}, "natural_language": "en", "observations": [], "plan": ["Compute the mean", "If variance, average squared deviations"], "prompt": "For the sample [6, 3, 10, 17, 20, 11, 3], compute the population mean (divide by n, not n-1).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "mean = 10; population variance = 264/7. Requested: 10.", "strategy": ["Compute the mean", "If variance, average squared deviations"], "task_type": "statistics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "10"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "10", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "281/36", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Population formulas", "Exact rational"], "context": {"method": "symbolic", "topic": "statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-stat-variance-8-7-5-1-2-8-a612dcbd518c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.45, "tests": 0.0, "total": 3.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "statistics"}, "natural_language": "en", "observations": [], "plan": ["Compute the mean", "If variance, average squared deviations"], "prompt": "For the sample [8, 7, 5, 1, 2, 8], compute the population variance (divide by n, not n-1).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "mean = 31/6; population variance = 281/36. Requested: 281/36.", "strategy": ["Compute the mean", "If variance, average squared deviations"], "task_type": "statistics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "281/36"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "281/36", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "299/16", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Population formulas", "Exact rational"], "context": {"method": "symbolic", "topic": "statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-stat-variance-15-14-19-7-dce6c897d1f2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "statistics"}, "natural_language": "en", "observations": [], "plan": ["Compute the mean", "If variance, average squared deviations"], "prompt": "For the sample [15, 14, 19, 7], compute the population variance (divide by n, not n-1).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "mean = 55/4; population variance = 299/16. Requested: 299/16.", "strategy": ["Compute the mean", "If variance, average squared deviations"], "task_type": "statistics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "299/16"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "299/16", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "53/7", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Population formulas", "Exact rational"], "context": {"method": "symbolic", "topic": "statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-stat-mean-13-8-5-1-4-14-8-70332d482c94", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 3.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "statistics"}, "natural_language": "en", "observations": [], "plan": ["Compute the mean", "If variance, average squared deviations"], "prompt": "For the sample [13, 8, 5, 1, 4, 14, 8], compute the population mean (divide by n, not n-1).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "mean = 53/7; population variance = 936/49. Requested: 53/7.", "strategy": ["Compute the mean", "If variance, average squared deviations"], "task_type": "statistics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "53/7"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "53/7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1692/49", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Population formulas", "Exact rational"], "context": {"method": "symbolic", "topic": "statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-stat-variance-2-18-8-4-15-5-15-2851cecd0370", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 3.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "statistics"}, "natural_language": "en", "observations": [], "plan": ["Compute the mean", "If variance, average squared deviations"], "prompt": "For the sample [2, 18, 8, 4, 15, 5, 15], compute the population variance (divide by n, not n-1).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "mean = 67/7; population variance = 1692/49. Requested: 1692/49.", "strategy": ["Compute the mean", "If variance, average squared deviations"], "task_type": "statistics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1692/49"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1692/49", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "846/49", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Population formulas", "Exact rational"], "context": {"method": "symbolic", "topic": "statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-stat-variance-20-17-14-18-15-6-16-e4cee6485c4f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 3.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "statistics"}, "natural_language": "en", "observations": [], "plan": ["Compute the mean", "If variance, average squared deviations"], "prompt": "For the sample [20, 17, 14, 18, 15, 6, 16], compute the population variance (divide by n, not n-1).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "mean = 106/7; population variance = 846/49. Requested: 846/49.", "strategy": ["Compute the mean", "If variance, average squared deviations"], "task_type": "statistics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "846/49"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "846/49", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "521/36", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Population formulas", "Exact rational"], "context": {"method": "symbolic", "topic": "statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-stat-variance-8-9-17-16-8-9-c358b11dd3d4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.45, "tests": 0.0, "total": 3.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "statistics"}, "natural_language": "en", "observations": [], "plan": ["Compute the mean", "If variance, average squared deviations"], "prompt": "For the sample [8, 9, 17, 16, 8, 9], compute the population variance (divide by n, not n-1).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "mean = 67/6; population variance = 521/36. Requested: 521/36.", "strategy": ["Compute the mean", "If variance, average squared deviations"], "task_type": "statistics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "521/36"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "521/36", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5/4", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Population formulas", "Exact rational"], "context": {"method": "symbolic", "topic": "statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-stat-variance-10-8-9-11-9d5031bd92c6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "statistics"}, "natural_language": "en", "observations": [], "plan": ["Compute the mean", "If variance, average squared deviations"], "prompt": "For the sample [10, 8, 9, 11], compute the population variance (divide by n, not n-1).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "mean = 19/2; population variance = 5/4. Requested: 5/4.", "strategy": ["Compute the mean", "If variance, average squared deviations"], "task_type": "statistics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5/4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5/4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "31/4", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Population formulas", "Exact rational"], "context": {"method": "symbolic", "topic": "statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-stat-mean-5-5-8-13-47a7fc785a7f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 3.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "statistics"}, "natural_language": "en", "observations": [], "plan": ["Compute the mean", "If variance, average squared deviations"], "prompt": "For the sample [5, 5, 8, 13], compute the population mean (divide by n, not n-1).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "mean = 31/4; population variance = 171/16. Requested: 31/4.", "strategy": ["Compute the mean", "If variance, average squared deviations"], "task_type": "statistics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "31/4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "31/4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "126/5", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Population formulas", "Exact rational"], "context": {"method": "symbolic", "topic": "statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-stat-variance-3-14-14-11-18-3a91368fd6eb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 3.125}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "statistics"}, "natural_language": "en", "observations": [], "plan": ["Compute the mean", "If variance, average squared deviations"], "prompt": "For the sample [3, 14, 14, 11, 18], compute the population variance (divide by n, not n-1).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "mean = 12; population variance = 126/5. Requested: 126/5.", "strategy": ["Compute the mean", "If variance, average squared deviations"], "task_type": "statistics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "126/5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "126/5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-trace-1-5-2-1-b867f0df11b6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[1, -5], [-2, 1]]. Compute tr(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = 1·1 - -5·-2 = -9; trace = 1+1 = 2.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-trace-4-5-4-1-448c1e2aa08d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.0500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[4, -5], [4, 1]]. Compute tr(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = 4·1 - -5·4 = 24; trace = 4+1 = 5.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-4", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-trace-5-0-1-1-44bf34e32f13", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[-5, 0], [-1, 1]]. Compute tr(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = -5·1 - 0·-1 = -5; trace = -5+1 = -4.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-trace-3-3-4-2-b300f73c02e0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[3, 3], [4, -2]]. Compute tr(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = 3·-2 - 3·4 = -18; trace = 3+-2 = 1.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-3", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-det-2-1-1-2-3621cf206dcc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[-2, -1], [1, 2]]. Compute det(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = -2·2 - -1·1 = -3; trace = -2+2 = 0.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-3"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-trace-1-0-5-5-8d4d2c6c83d8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[1, 0], [5, 5]]. Compute tr(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = 1·5 - 0·5 = 5; trace = 1+5 = 6.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "6"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-6", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-det-3-2-3-4-0c653b8221a4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[-3, 2], [-3, 4]]. Compute det(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = -3·4 - 2·-3 = -6; trace = -3+4 = 1.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-6"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-11", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-det-1-4-4-5-57a0560e4255", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.0500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[1, 4], [4, 5]]. Compute det(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = 1·5 - 4·4 = -11; trace = 1+5 = 6.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-11"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-11", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-7", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-trace-4-5-1-3-ad4813201baf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[-4, 5], [1, -3]]. Compute tr(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = -4·-3 - 5·1 = 7; trace = -4+-3 = -7.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-7"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-2", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-trace-3-5-1-1-1acca34623cd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 4.050000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[-3, -5], [-1, 1]]. Compute tr(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = -3·1 - -5·-1 = -8; trace = -3+1 = -2.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-2", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-trace-2-2-0-0-908c3905de4e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[-2, 2], [0, 0]]. Compute tr(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = -2·0 - 2·0 = 0; trace = -2+0 = -2.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-5", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["2×2 matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-la-trace-1-1-1-4-35cd8edef7b6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 4.050000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "prompt": "Let A = [[-1, 1], [-1, -4]]. Compute tr(A).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "det = ad-bc = -1·-4 - 1·-1 = 5; trace = -1+-4 = -5.", "strategy": ["Write the matrix", "Apply det = ad-bc or tr = a+d"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "49/4", "assumptions": [], "concept_id": null, "constraints": ["Unconstrained real line", "Exact value"], "context": {"method": "symbolic", "topic": "optimization"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-opt-1-7-0-5f943bb86e6f", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 4.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "optimization"}, "natural_language": "en", "observations": [], "plan": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "prompt": "Find the maximum value of f(x) = -x**2 - 7*x on the real line.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x) = -2*x - 7 = 0 at x = -7/2. f''(x) = -2 < 0, so this is a maximum, f = 49/4.", "strategy": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "task_type": "optimization", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"argmax": "-7/2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "49/4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "19/2", "assumptions": [], "concept_id": null, "constraints": ["Unconstrained real line", "Exact value"], "context": {"method": "symbolic", "topic": "optimization"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-opt-2-6-5-87fde53be6ab", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "optimization"}, "natural_language": "en", "observations": [], "plan": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "prompt": "Find the maximum value of f(x) = -2*x**2 - 6*x + 5 on the real line.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x) = -4*x - 6 = 0 at x = -3/2. f''(x) = -4 < 0, so this is a maximum, f = 19/2.", "strategy": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "task_type": "optimization", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"argmax": "-3/2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "19/2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "14", "assumptions": [], "concept_id": null, "constraints": ["Unconstrained real line", "Exact value"], "context": {"method": "symbolic", "topic": "optimization"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-opt-1-8-2-d93c737cc212", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "optimization"}, "natural_language": "en", "observations": [], "plan": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "prompt": "Find the maximum value of f(x) = -x**2 - 8*x - 2 on the real line.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x) = -2*x - 8 = 0 at x = -4. f''(x) = -2 < 0, so this is a maximum, f = 14.", "strategy": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "task_type": "optimization", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"argmax": "-4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "14", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": [], "concept_id": null, "constraints": ["Unconstrained real line", "Exact value"], "context": {"method": "symbolic", "topic": "optimization"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-opt-2-8-4-2cf7bc06b5fe", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "optimization"}, "natural_language": "en", "observations": [], "plan": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "prompt": "Find the maximum value of f(x) = -2*x**2 - 8*x + 4 on the real line.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x) = -4*x - 8 = 0 at x = -2. f''(x) = -4 < 0, so this is a maximum, f = 12.", "strategy": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "task_type": "optimization", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"argmax": "-2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-23/8", "assumptions": [], "concept_id": null, "constraints": ["Unconstrained real line", "Exact value"], "context": {"method": "symbolic", "topic": "optimization"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-opt-2-1-3-02ae512c7d99", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 5.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "optimization"}, "natural_language": "en", "observations": [], "plan": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "prompt": "Find the maximum value of f(x) = -2*x**2 - x - 3 on the real line.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x) = -4*x - 1 = 0 at x = -1/4. f''(x) = -4 < 0, so this is a maximum, f = -23/8.", "strategy": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "task_type": "optimization", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"argmax": "-1/4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-23/8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "89/16", "assumptions": [], "concept_id": null, "constraints": ["Unconstrained real line", "Exact value"], "context": {"method": "symbolic", "topic": "optimization"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-opt-4-5-4-cc975f207843", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "optimization"}, "natural_language": "en", "observations": [], "plan": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "prompt": "Find the maximum value of f(x) = -4*x**2 - 5*x + 4 on the real line.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x) = -8*x - 5 = 0 at x = -5/8. f''(x) = -8 < 0, so this is a maximum, f = 89/16.", "strategy": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "task_type": "optimization", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"argmax": "-5/8"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "89/16", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7/2", "assumptions": [], "concept_id": null, "constraints": ["Unconstrained real line", "Exact value"], "context": {"method": "symbolic", "topic": "optimization"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-opt-2-6-1-e31578ba154a", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "optimization"}, "natural_language": "en", "observations": [], "plan": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "prompt": "Find the maximum value of f(x) = -2*x**2 + 6*x - 1 on the real line.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x) = 6 - 4*x = 0 at x = 3/2. f''(x) = -4 < 0, so this is a maximum, f = 7/2.", "strategy": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "task_type": "optimization", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"argmax": "3/2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "7/2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "19/4", "assumptions": [], "concept_id": null, "constraints": ["Unconstrained real line", "Exact value"], "context": {"method": "symbolic", "topic": "optimization"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-opt-3-3-4-990199f855b6", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "optimization"}, "natural_language": "en", "observations": [], "plan": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "prompt": "Find the maximum value of f(x) = -3*x**2 - 3*x + 4 on the real line.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x) = -6*x - 3 = 0 at x = -1/2. f''(x) = -6 < 0, so this is a maximum, f = 19/4.", "strategy": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "task_type": "optimization", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"argmax": "-1/2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "19/4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5/4", "assumptions": [], "concept_id": null, "constraints": ["Unconstrained real line", "Exact value"], "context": {"method": "symbolic", "topic": "optimization"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-opt-1-3-1-816f1fc2df37", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "optimization"}, "natural_language": "en", "observations": [], "plan": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "prompt": "Find the maximum value of f(x) = -x**2 - 3*x - 1 on the real line.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x) = -2*x - 3 = 0 at x = -3/2. f''(x) = -2 < 0, so this is a maximum, f = 5/4.", "strategy": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "task_type": "optimization", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"argmax": "-3/2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5/4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "15", "assumptions": [], "concept_id": null, "constraints": ["Unconstrained real line", "Exact value"], "context": {"method": "symbolic", "topic": "optimization"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-opt-1-8-1-ef1089ce9ac6", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "optimization"}, "natural_language": "en", "observations": [], "plan": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "prompt": "Find the maximum value of f(x) = -x**2 - 8*x - 1 on the real line.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x) = -2*x - 8 = 0 at x = -4. f''(x) = -2 < 0, so this is a maximum, f = 15.", "strategy": ["Differentiate", "Solve f'=0", "Confirm with the second-derivative test"], "task_type": "optimization", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"argmax": "-4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "15", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "57", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-arithmetic-7-5-11-cb4f06afb4e9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "An arithmetic sequence has first term 7 and common difference 5. What is term 11?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 + (k-1)d = 7 + (11-1)·5 = 57.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "57", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "62", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-arithmetic-2-6-11-1c8365c33465", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "An arithmetic sequence has first term 2 and common difference 6. What is term 11?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 + (k-1)d = 2 + (11-1)·6 = 62.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "62", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4096", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-geometric-2-7-12-8170dc5aa535", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "A geometric sequence has first term 2 and common ratio 2. What is term 12?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 · r^(k-1) = 2·2^11 = 4096.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "4096", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "19683", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-geometric-1-4-10-4af46f9ef3e6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "A geometric sequence has first term 1 and common ratio 3. What is term 10?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 · r^(k-1) = 1·3^9 = 19683.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "19683", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2048", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-geometric-2-6-11-38244863b661", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "A geometric sequence has first term 2 and common ratio 2. What is term 11?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 · r^(k-1) = 2·2^10 = 2048.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "2048", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1701", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-geometric-7-5-6-cac2f40d2f32", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "A geometric sequence has first term 7 and common ratio 3. What is term 6?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 · r^(k-1) = 7·3^5 = 1701.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "1701", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "512", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-geometric-8-7-7-8f3dba3a6a75", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "A geometric sequence has first term 8 and common ratio 2. What is term 7?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 · r^(k-1) = 8·2^6 = 512.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "512", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "885735", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-geometric-5-6-12-cc20e4a859ab", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "A geometric sequence has first term 5 and common ratio 3. What is term 12?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 · r^(k-1) = 5·3^11 = 885735.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "885735", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "137781", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-geometric-7-7-10-df653c5d9151", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "A geometric sequence has first term 7 and common ratio 3. What is term 10?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 · r^(k-1) = 7·3^9 = 137781.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "137781", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "512", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-geometric-4-2-8-016eedd12e87", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "A geometric sequence has first term 4 and common ratio 2. What is term 8?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 · r^(k-1) = 4·2^7 = 512.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "512", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "157464", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-geometric-8-6-10-3a42e14c27d9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "A geometric sequence has first term 8 and common ratio 3. What is term 10?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 · r^(k-1) = 8·3^9 = 157464.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "157464", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2048", "assumptions": [], "concept_id": "python.loops", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-seq-geometric-1-5-12-fae78cdee9cb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Identify the closed form", "Substitute k"], "prompt": "A geometric sequence has first term 1 and common ratio 2. What is term 12?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_k = a1 · r^(k-1) = 1·2^11 = 2048.", "strategy": ["Identify the closed form", "Substitute k"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer", "passed": true, "result": "2048", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-log-5-125-0747fe161d19", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.05, "tests": 0.0, "total": 1.2750000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the argument as a power of the base"], "prompt": "Evaluate log_5(125).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "5^3 = 125, so the logarithm is 3.", "strategy": ["Write the argument as a power of the base"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "3"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-log-4-256-c11d2c050adb", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.05, "tests": 0.0, "total": 1.2750000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the argument as a power of the base"], "prompt": "Evaluate log_4(256).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "4^4 = 256, so the logarithm is 4.", "strategy": ["Write the argument as a power of the base"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-log-10-10000-ddc92cd60409", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.05, "tests": 0.0, "total": 1.2750000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the argument as a power of the base"], "prompt": "Evaluate log_10(10000).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "10^4 = 10000, so the logarithm is 4.", "strategy": ["Write the argument as a power of the base"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-log-10-100-78d3e0d9afba", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.05, "tests": 0.0, "total": 1.2750000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the argument as a power of the base"], "prompt": "Evaluate log_10(100).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "10^2 = 100, so the logarithm is 2.", "strategy": ["Write the argument as a power of the base"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-log-10-1000-9a82ad7ef91e", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.05, "tests": 0.0, "total": 1.2750000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the argument as a power of the base"], "prompt": "Evaluate log_10(1000).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "10^3 = 1000, so the logarithm is 3.", "strategy": ["Write the argument as a power of the base"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "3"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-log-2-8-25b0013fbdb9", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.05, "tests": 0.0, "total": 1.2750000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the argument as a power of the base"], "prompt": "Evaluate log_2(8).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "2^3 = 8, so the logarithm is 3.", "strategy": ["Write the argument as a power of the base"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "3"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-log-5-3125-8be33b96eefd", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.05, "tests": 0.0, "total": 1.2750000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Write the argument as a power of the base"], "prompt": "Evaluate log_5(3125).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "5^5 = 3125, so the logarithm is 5.", "strategy": ["Write the argument as a power of the base"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "2", "assumptions": [], "concept_id": null, "constraints": ["a > 0 so the inequality direction is preserved"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-ineq-6-5-7-759bb5f0f500", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Isolate x", "Divide by the positive coefficient"], "prompt": "Solve the inequality 6x + (-5) > 7. Give the threshold x must exceed.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Subtract -5: 6x > 12. Divide by positive 6: x > 2.", "strategy": ["Isolate x", "Divide by the positive coefficient"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9/5", "assumptions": [], "concept_id": null, "constraints": ["a > 0 so the inequality direction is preserved"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-ineq-5-3-6-f0dc99844529", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 2.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Isolate x", "Divide by the positive coefficient"], "prompt": "Solve the inequality 5x + (-3) > 6. Give the threshold x must exceed.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Subtract -3: 5x > 9. Divide by positive 5: x > 9/5.", "strategy": ["Isolate x", "Divide by the positive coefficient"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "9/5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "9/5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1/9", "assumptions": [], "concept_id": null, "constraints": ["a > 0 so the inequality direction is preserved"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-ineq-9-5-6-c703b183319e", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Isolate x", "Divide by the positive coefficient"], "prompt": "Solve the inequality 9x + (5) > 6. Give the threshold x must exceed.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Subtract 5: 9x > 1. Divide by positive 9: x > 1/9.", "strategy": ["Isolate x", "Divide by the positive coefficient"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1/9"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1/9", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-3/4", "assumptions": [], "concept_id": null, "constraints": ["a > 0 so the inequality direction is preserved"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-ineq-8-11-5-45770e32fc29", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 2.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Isolate x", "Divide by the positive coefficient"], "prompt": "Solve the inequality 8x + (11) > 5. Give the threshold x must exceed.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Subtract 11: 8x > -6. Divide by positive 8: x > -3/4.", "strategy": ["Isolate x", "Divide by the positive coefficient"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-3/4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-3/4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "1.416666667", "assumptions": [], "concept_id": "python.loops", "constraints": ["One iteration only", "Use 64-bit floating point"], "context": {"method": "symbolic", "topic": "numerical_methods"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-newton-2-1-5-bacf818991b1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.275, "tests": 0.0, "total": 3.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "numerical_methods"}, "natural_language": "en", "observations": [], "plan": ["Evaluate f and f' at x0", "Apply the Newton update"], "prompt": "Perform one Newton iteration for f(x)=x^2-2=0 starting at x0=1.5. Report x1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x)=2x. x1 = x0 - f(x0)/f'(x0) = 1.5 - (1.5^2-2)/(2·1.5) = 1.416666667.", "strategy": ["Evaluate f and f' at x0", "Apply the Newton update"], "task_type": "numerical_methods", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.4166666666666665}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.416666667", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2.416666667", "assumptions": [], "concept_id": "python.loops", "constraints": ["One iteration only", "Use 64-bit floating point"], "context": {"method": "symbolic", "topic": "numerical_methods"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-newton-5-1-5-b02b57aac20a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.275, "tests": 0.0, "total": 3.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "numerical_methods"}, "natural_language": "en", "observations": [], "plan": ["Evaluate f and f' at x0", "Apply the Newton update"], "prompt": "Perform one Newton iteration for f(x)=x^2-5=0 starting at x0=1.5. Report x1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x)=2x. x1 = x0 - f(x0)/f'(x0) = 1.5 - (1.5^2-5)/(2·1.5) = 2.416666667.", "strategy": ["Evaluate f and f' at x0", "Apply the Newton update"], "task_type": "numerical_methods", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.416666666666667}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.416666667", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": "python.loops", "constraints": ["One iteration only", "Use 64-bit floating point"], "context": {"method": "symbolic", "topic": "numerical_methods"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-newton-5-1-0-41a0afe68fe6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.275, "tests": 0.0, "total": 3.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "numerical_methods"}, "natural_language": "en", "observations": [], "plan": ["Evaluate f and f' at x0", "Apply the Newton update"], "prompt": "Perform one Newton iteration for f(x)=x^2-5=0 starting at x0=1. Report x1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x)=2x. x1 = x0 - f(x0)/f'(x0) = 1 - (1^2-5)/(2·1) = 3.", "strategy": ["Evaluate f and f' at x0", "Apply the Newton update"], "task_type": "numerical_methods", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4.083333333", "assumptions": [], "concept_id": "python.loops", "constraints": ["One iteration only", "Use 64-bit floating point"], "context": {"method": "symbolic", "topic": "numerical_methods"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-newton-10-1-5-42f43f6972c1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.275, "tests": 0.0, "total": 3.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "numerical_methods"}, "natural_language": "en", "observations": [], "plan": ["Evaluate f and f' at x0", "Apply the Newton update"], "prompt": "Perform one Newton iteration for f(x)=x^2-10=0 starting at x0=1.5. Report x1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x)=2x. x1 = x0 - f(x0)/f'(x0) = 1.5 - (1.5^2-10)/(2·1.5) = 4.083333333.", "strategy": ["Evaluate f and f' at x0", "Apply the Newton update"], "task_type": "numerical_methods", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.083333333333334}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.083333333", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.5", "assumptions": [], "concept_id": "python.loops", "constraints": ["One iteration only", "Use 64-bit floating point"], "context": {"method": "symbolic", "topic": "numerical_methods"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-newton-2-2-0-3c7bcf523b9b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.275, "tests": 0.0, "total": 3.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "numerical_methods"}, "natural_language": "en", "observations": [], "plan": ["Evaluate f and f' at x0", "Apply the Newton update"], "prompt": "Perform one Newton iteration for f(x)=x^2-2=0 starting at x0=2. Report x1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x)=2x. x1 = x0 - f(x0)/f'(x0) = 2 - (2^2-2)/(2·2) = 1.5.", "strategy": ["Evaluate f and f' at x0", "Apply the Newton update"], "task_type": "numerical_methods", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "python.loops", "constraints": ["One iteration only", "Use 64-bit floating point"], "context": {"method": "symbolic", "topic": "numerical_methods"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-newton-3-3-0-73968823d8ad", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.275, "tests": 0.0, "total": 3.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "numerical_methods"}, "natural_language": "en", "observations": [], "plan": ["Evaluate f and f' at x0", "Apply the Newton update"], "prompt": "Perform one Newton iteration for f(x)=x^2-3=0 starting at x0=3. Report x1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x)=2x. x1 = x0 - f(x0)/f'(x0) = 3 - (3^2-3)/(2·3) = 2.", "strategy": ["Evaluate f and f' at x0", "Apply the Newton update"], "task_type": "numerical_methods", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.5", "assumptions": [], "concept_id": "python.loops", "constraints": ["One iteration only", "Use 64-bit floating point"], "context": {"method": "symbolic", "topic": "numerical_methods"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-newton-2-1-0-a669c10fd1b1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.275, "tests": 0.0, "total": 3.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "numerical_methods"}, "natural_language": "en", "observations": [], "plan": ["Evaluate f and f' at x0", "Apply the Newton update"], "prompt": "Perform one Newton iteration for f(x)=x^2-2=0 starting at x0=1. Report x1.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "f'(x)=2x. x1 = x0 - f(x0)/f'(x0) = 1 - (1^2-2)/(2·1) = 1.5.", "strategy": ["Evaluate f and f' at x0", "Apply the Newton update"], "task_type": "numerical_methods", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "240", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Proof over the integers", "Include the requested numeric check"], "context": {"method": "symbolic", "topic": "proofs"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-proof-0-0-79d495d11d43", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "proofs"}, "natural_language": "en", "observations": [], "plan": ["Write an algebraic factorisation or induction", "Evaluate the check instance"], "prompt": "Prove that for every integer n, n(n+1) is even. Then give the value of n(n+1) for n = 15 as a check.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "If n is even, n=2k and n(n+1)=2k(2k+1) is even. If n is odd, n+1 is even, so the product is even. Computational check: 15×16 = 240.", "strategy": ["Write an algebraic factorisation or induction", "Evaluate the check instance"], "task_type": "proof", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "240", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "81", "assumptions": [], "concept_id": "python.loops", "constraints": ["Proof over the integers", "Include the requested numeric check"], "context": {"method": "symbolic", "topic": "proofs"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-proof-1-1-0657efb199be", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.6, "tests": 0.0, "total": 3.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "proofs"}, "natural_language": "en", "observations": [], "plan": ["Write an algebraic factorisation or induction", "Evaluate the check instance"], "prompt": "Prove that the sum of the first m positive odd numbers is m^2. Then report the sum of the first 9 positive odd numbers.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The k-th odd number is 2k-1. Sum_{k=1..m}(2k-1) = 2·m(m+1)/2 - m = m^2. For m=9, the sum is 81.", "strategy": ["Write an algebraic factorisation or induction", "Evaluate the check instance"], "task_type": "proof", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "81", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "504", "assumptions": [], "concept_id": "python.loops", "constraints": ["Proof over the integers", "Include the requested numeric check"], "context": {"method": "symbolic", "topic": "proofs"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-proof-2-2-75b8369c58e4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 3.6500000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "proofs"}, "natural_language": "en", "observations": [], "plan": ["Write an algebraic factorisation or induction", "Evaluate the check instance"], "prompt": "Show that 3 divides n^3-n for every integer n. Report n^3-n for n=8.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "n^3-n = n(n-1)(n+1), three consecutive integers, hence divisible by 3. For n=8: 512-8=504.", "strategy": ["Write an algebraic factorisation or induction", "Evaluate the check instance"], "task_type": "proof", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "504", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1456", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric series"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-geomsum-4-3-6-4e906fce0402", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "prompt": "A geometric series has first term 4, ratio 3, and 6 terms. What is the sum?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S = a(r^n-1)/(r-1) = 4(3^6-1)/(3-1) = 1456.", "strategy": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1456"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1456", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "200", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric series"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-geomsum-5-3-4-f398f61a69f1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "prompt": "A geometric series has first term 5, ratio 3, and 4 terms. What is the sum?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S = a(r^n-1)/(r-1) = 5(3^4-1)/(3-1) = 200.", "strategy": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "200"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "200", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "728", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric series"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-geomsum-2-3-6-bec7fbf1518e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "prompt": "A geometric series has first term 2, ratio 3, and 6 terms. What is the sum?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S = a(r^n-1)/(r-1) = 2(3^6-1)/(3-1) = 728.", "strategy": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "728"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "728", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "126", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric series"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-geomsum-2-2-6-d40ebda32fe1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "prompt": "A geometric series has first term 2, ratio 2, and 6 terms. What is the sum?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S = a(r^n-1)/(r-1) = 2(2^6-1)/(2-1) = 126.", "strategy": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "126"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "126", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "35", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric series"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-geomsum-5-2-3-92e16c34c8ac", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "prompt": "A geometric series has first term 5, ratio 2, and 3 terms. What is the sum?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S = a(r^n-1)/(r-1) = 5(2^3-1)/(2-1) = 35.", "strategy": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "35"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "35", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "93", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric series"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-geomsum-3-2-5-1fb7da0a9428", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "prompt": "A geometric series has first term 3, ratio 2, and 5 terms. What is the sum?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S = a(r^n-1)/(r-1) = 3(2^5-1)/(2-1) = 93.", "strategy": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "93"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "93", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "14", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric series"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-geomsum-2-2-3-da4f643afcc9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "prompt": "A geometric series has first term 2, ratio 2, and 3 terms. What is the sum?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S = a(r^n-1)/(r-1) = 2(2^3-1)/(2-1) = 14.", "strategy": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "14"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "14", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "315", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric series"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-geomsum-5-2-6-415e2cedb5dd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "prompt": "A geometric series has first term 5, ratio 2, and 6 terms. What is the sum?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S = a(r^n-1)/(r-1) = 5(2^6-1)/(2-1) = 315.", "strategy": ["Write S=a(r^n-1)/(r-1)", "Substitute", "Simplify"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "315"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "315", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "175", "assumptions": [], "concept_id": "python.iterators", "constraints": ["No prefix", "Lowercase hex digits"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-125-8-639b22742cc6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.175, "tests": 0.0, "total": 2.775}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Divide by the base", "Collect remainders", "Reverse"], "prompt": "Write 125 in octal (no 0o prefix).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Repeated division by 8 yields 175, and int('175', 8) = 125.", "strategy": ["Divide by the base", "Collect remainders", "Reverse"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "175", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "56", "assumptions": [], "concept_id": "python.iterators", "constraints": ["No prefix", "Lowercase hex digits"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-86-16-eddfa9802908", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Divide by the base", "Collect remainders", "Reverse"], "prompt": "Write 86 in hexadecimal using lowercase letters (no 0x prefix).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Repeated division by 16 yields 56, and int('56', 16) = 86.", "strategy": ["Divide by the base", "Collect remainders", "Reverse"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "56", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "167", "assumptions": [], "concept_id": "python.iterators", "constraints": ["No prefix", "Lowercase hex digits"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-119-8-680d751b3efa", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.175, "tests": 0.0, "total": 2.775}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Divide by the base", "Collect remainders", "Reverse"], "prompt": "Write 119 in octal (no 0o prefix).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Repeated division by 8 yields 167, and int('167', 8) = 119.", "strategy": ["Divide by the base", "Collect remainders", "Reverse"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "167", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9b", "assumptions": [], "concept_id": "python.iterators", "constraints": ["No prefix", "Lowercase hex digits"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-155-16-6603fa89ea1d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Divide by the base", "Collect remainders", "Reverse"], "prompt": "Write 155 in hexadecimal using lowercase letters (no 0x prefix).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Repeated division by 16 yields 9b, and int('9b', 16) = 155.", "strategy": ["Divide by the base", "Collect remainders", "Reverse"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "9b", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "19", "assumptions": [], "concept_id": "python.iterators", "constraints": ["No prefix", "Lowercase hex digits"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-25-16-b5096015e61d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Divide by the base", "Collect remainders", "Reverse"], "prompt": "Write 25 in hexadecimal using lowercase letters (no 0x prefix).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Repeated division by 16 yields 19, and int('19', 16) = 25.", "strategy": ["Divide by the base", "Collect remainders", "Reverse"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "19", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "11000111", "assumptions": [], "concept_id": "python.iterators", "constraints": ["No prefix", "Lowercase hex digits"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-199-2-cb14747933dc", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.175, "tests": 0.0, "total": 2.775}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Divide by the base", "Collect remainders", "Reverse"], "prompt": "Write 199 in binary (no 0b prefix).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Repeated division by 2 yields 11000111, and int('11000111', 2) = 199.", "strategy": ["Divide by the base", "Collect remainders", "Reverse"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "11000111", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3f", "assumptions": [], "concept_id": "python.iterators", "constraints": ["No prefix", "Lowercase hex digits"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-63-16-c4e8b483527c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Divide by the base", "Collect remainders", "Reverse"], "prompt": "Write 63 in hexadecimal using lowercase letters (no 0x prefix).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Repeated division by 16 yields 3f, and int('3f', 16) = 63.", "strategy": ["Divide by the base", "Collect remainders", "Reverse"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "3f", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "100", "assumptions": [], "concept_id": "python.iterators", "constraints": ["No prefix", "Lowercase hex digits"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-64-8-2a3ac9c7b460", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.175, "tests": 0.0, "total": 2.775}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Divide by the base", "Collect remainders", "Reverse"], "prompt": "Write 64 in octal (no 0o prefix).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Repeated division by 8 yields 100, and int('100', 8) = 64.", "strategy": ["Divide by the base", "Collect remainders", "Reverse"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "100", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rem-1-3-2-2-de6052027ee0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 3.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Evaluate p at the root of the divisor", "Report that value"], "prompt": "By the remainder theorem, what is the remainder when x**2 - 3*x - 2 is divided by (x - (-2))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The remainder is p(-2) = 8.", "strategy": ["Evaluate p at the root of the divisor", "Report that value"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "8"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-5", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rem-1-3-5-0-24e3e35ceb51", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 3.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Evaluate p at the root of the divisor", "Report that value"], "prompt": "By the remainder theorem, what is the remainder when x**2 - 3*x - 5 is divided by (x - (0))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The remainder is p(0) = -5.", "strategy": ["Evaluate p at the root of the divisor", "Report that value"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rem-4-4-2-1-1a70d312d29e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 3.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Evaluate p at the root of the divisor", "Report that value"], "prompt": "By the remainder theorem, what is the remainder when 4*x**2 + 4*x + 2 is divided by (x - (-1))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The remainder is p(-1) = 2.", "strategy": ["Evaluate p at the root of the divisor", "Report that value"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rem-1-2-1-2-c9730377c1a8", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 3.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Evaluate p at the root of the divisor", "Report that value"], "prompt": "By the remainder theorem, what is the remainder when x**2 - 2*x - 1 is divided by (x - (2))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The remainder is p(2) = -1.", "strategy": ["Evaluate p at the root of the divisor", "Report that value"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rem-3-2-4-2-54ad91095113", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 3.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Evaluate p at the root of the divisor", "Report that value"], "prompt": "By the remainder theorem, what is the remainder when 3*x**2 + 2*x - 4 is divided by (x - (2))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The remainder is p(2) = 12.", "strategy": ["Evaluate p at the root of the divisor", "Report that value"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "12"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rem-2-1-5-1-73fe620f10eb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Evaluate p at the root of the divisor", "Report that value"], "prompt": "By the remainder theorem, what is the remainder when 2*x**2 - x + 5 is divided by (x - (1))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The remainder is p(1) = 6.", "strategy": ["Evaluate p at the root of the divisor", "Report that value"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "6"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rem-2-1-4-1-fbc392114605", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 3.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Evaluate p at the root of the divisor", "Report that value"], "prompt": "By the remainder theorem, what is the remainder when 2*x**2 + x - 4 is divided by (x - (1))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The remainder is p(1) = -1.", "strategy": ["Evaluate p at the root of the divisor", "Report that value"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-6", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rem-2-5-3-1-2b87ef2bdc69", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 4.075}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Evaluate p at the root of the divisor", "Report that value"], "prompt": "By the remainder theorem, what is the remainder when 2*x**2 + 5*x - 3 is divided by (x - (-1))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The remainder is p(-1) = -6.", "strategy": ["Evaluate p at the root of the divisor", "Report that value"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-6"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "77", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Report the square, not the square root"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vnorm-4-5-6-128b0353a713", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.5, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 3.3}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Square each component", "Add"], "prompt": "What is the squared Euclidean norm of the vector (-4, -5, -6)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "||v||^2 = -4^2+-5^2+-6^2 = 77.", "strategy": ["Square each component", "Add"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "77"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "77", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "56", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Report the square, not the square root"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vnorm-4-6-2-f549a013fc5a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 3.05}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Square each component", "Add"], "prompt": "What is the squared Euclidean norm of the vector (-4, 6, -2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "||v||^2 = -4^2+6^2+-2^2 = 56.", "strategy": ["Square each component", "Add"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "56"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "56", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "43", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Report the square, not the square root"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vnorm-3-5-3-65ff2e817658", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Square each component", "Add"], "prompt": "What is the squared Euclidean norm of the vector (3, 5, 3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "||v||^2 = 3^2+5^2+3^2 = 43.", "strategy": ["Square each component", "Add"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "43"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "43", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "30", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Report the square, not the square root"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vnorm-2-1-5-6c534713b149", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 3.05}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Square each component", "Add"], "prompt": "What is the squared Euclidean norm of the vector (-2, 1, -5)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "||v||^2 = -2^2+1^2+-5^2 = 30.", "strategy": ["Square each component", "Add"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "30"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "30", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "30", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Report the square, not the square root"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vnorm-1-5-2-695496aba490", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 2.8}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Square each component", "Add"], "prompt": "What is the squared Euclidean norm of the vector (1, 5, -2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "||v||^2 = 1^2+5^2+-2^2 = 30.", "strategy": ["Square each component", "Add"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "30"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "30", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "29", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Report the square, not the square root"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vnorm-5-0-2-a9341d9d2534", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 2.8}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Square each component", "Add"], "prompt": "What is the squared Euclidean norm of the vector (5, 0, -2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "||v||^2 = 5^2+0^2+-2^2 = 29.", "strategy": ["Square each component", "Add"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "29"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "29", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Report the square, not the square root"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vnorm-2-2-1-42840fbce502", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Square each component", "Add"], "prompt": "What is the squared Euclidean norm of the vector (2, 2, 1)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "||v||^2 = 2^2+2^2+1^2 = 9.", "strategy": ["Square each component", "Add"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "9"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "9", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "35", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Report the square, not the square root"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vnorm-1-5-3-15be9000cc25", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 2.8}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Square each component", "Add"], "prompt": "What is the squared Euclidean norm of the vector (1, -5, 3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "||v||^2 = 1^2+-5^2+3^2 = 35.", "strategy": ["Square each component", "Add"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "35"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "35", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": [], "concept_id": null, "constraints": ["Finite sets", "Exact cardinality"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inc-5-8-3-fe7e37532ea5", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply inclusion-exclusion for two sets"], "prompt": "|A|=5, |B|=8, |A ∩ B|=3. What is |A ∪ B|?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|A ∪ B| = |A|+|B|-|A ∩ B| = 5+8-3 = 10.", "strategy": ["Apply inclusion-exclusion for two sets"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "10"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "10", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "11", "assumptions": [], "concept_id": null, "constraints": ["Finite sets", "Exact cardinality"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inc-7-5-1-a8506554c12a", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply inclusion-exclusion for two sets"], "prompt": "|A|=7, |B|=5, |A ∩ B|=1. What is |A ∪ B|?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|A ∪ B| = |A|+|B|-|A ∩ B| = 7+5-1 = 11.", "strategy": ["Apply inclusion-exclusion for two sets"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "11"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "11", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": [], "concept_id": null, "constraints": ["Finite sets", "Exact cardinality"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inc-7-8-5-925b9e86ccbf", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply inclusion-exclusion for two sets"], "prompt": "|A|=7, |B|=8, |A ∩ B|=5. What is |A ∪ B|?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|A ∪ B| = |A|+|B|-|A ∩ B| = 7+8-5 = 10.", "strategy": ["Apply inclusion-exclusion for two sets"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "10"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "10", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "11", "assumptions": [], "concept_id": null, "constraints": ["Finite sets", "Exact cardinality"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inc-9-5-3-c69fbbfa54b8", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply inclusion-exclusion for two sets"], "prompt": "|A|=9, |B|=5, |A ∩ B|=3. What is |A ∪ B|?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|A ∪ B| = |A|+|B|-|A ∩ B| = 9+5-3 = 11.", "strategy": ["Apply inclusion-exclusion for two sets"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "11"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "11", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": [], "concept_id": null, "constraints": ["Finite sets", "Exact cardinality"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inc-8-4-2-234a4d248015", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply inclusion-exclusion for two sets"], "prompt": "|A|=8, |B|=4, |A ∩ B|=2. What is |A ∪ B|?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|A ∪ B| = |A|+|B|-|A ∩ B| = 8+4-2 = 10.", "strategy": ["Apply inclusion-exclusion for two sets"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "10"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "10", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "15", "assumptions": [], "concept_id": null, "constraints": ["Finite sets", "Exact cardinality"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inc-9-10-4-380945d96e9a", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply inclusion-exclusion for two sets"], "prompt": "|A|=9, |B|=10, |A ∩ B|=4. What is |A ∪ B|?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|A ∪ B| = |A|+|B|-|A ∩ B| = 9+10-4 = 15.", "strategy": ["Apply inclusion-exclusion for two sets"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "15"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "15", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": [], "concept_id": null, "constraints": ["Finite sets", "Exact cardinality"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inc-9-8-5-c92c4f4d3cd5", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply inclusion-exclusion for two sets"], "prompt": "|A|=9, |B|=8, |A ∩ B|=5. What is |A ∪ B|?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|A ∪ B| = |A|+|B|-|A ∩ B| = 9+8-5 = 12.", "strategy": ["Apply inclusion-exclusion for two sets"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "12"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16", "assumptions": [], "concept_id": null, "constraints": ["Finite sets", "Exact cardinality"], "context": {"method": "symbolic", "topic": "discrete_mathematics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inc-9-11-4-fb2a4cdbcd45", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "discrete_mathematics"}, "natural_language": "en", "observations": [], "plan": ["Apply inclusion-exclusion for two sets"], "prompt": "|A|=9, |B|=11, |A ∩ B|=4. What is |A ∪ B|?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|A ∪ B| = |A|+|B|-|A ∩ B| = 9+11-4 = 16.", "strategy": ["Apply inclusion-exclusion for two sets"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "16"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "16", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "26", "assumptions": [], "concept_id": null, "constraints": ["Exact integer", "i^2 = -1"], "context": {"method": "symbolic", "topic": "complex"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cmod-5-1-32a32b683bb0", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 3.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "complex"}, "natural_language": "en", "observations": [], "plan": ["Identify a and b", "Compute a^2+b^2"], "prompt": "Let z = -5 + 1i. What is |z|^2 (the square of the modulus)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|z|^2 = a^2+b^2 = -5^2+1^2 = 26.", "strategy": ["Identify a and b", "Compute a^2+b^2"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "26"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "26", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": null, "constraints": ["Exact integer", "i^2 = -1"], "context": {"method": "symbolic", "topic": "complex"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cmod-1-0-ce2941f53af7", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 3.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "complex"}, "natural_language": "en", "observations": [], "plan": ["Identify a and b", "Compute a^2+b^2"], "prompt": "Let z = -1 + 0i. What is |z|^2 (the square of the modulus)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|z|^2 = a^2+b^2 = -1^2+0^2 = 1.", "strategy": ["Identify a and b", "Compute a^2+b^2"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": null, "constraints": ["Exact integer", "i^2 = -1"], "context": {"method": "symbolic", "topic": "complex"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cmod-1-1-b7a5e0582961", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 4.175000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "complex"}, "natural_language": "en", "observations": [], "plan": ["Identify a and b", "Compute a^2+b^2"], "prompt": "Let z = -1 + -1i. What is |z|^2 (the square of the modulus)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|z|^2 = a^2+b^2 = -1^2+-1^2 = 2.", "strategy": ["Identify a and b", "Compute a^2+b^2"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "41", "assumptions": [], "concept_id": null, "constraints": ["Exact integer", "i^2 = -1"], "context": {"method": "symbolic", "topic": "complex"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cmod-4-5-2741cda7c0e7", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 3.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "complex"}, "natural_language": "en", "observations": [], "plan": ["Identify a and b", "Compute a^2+b^2"], "prompt": "Let z = 4 + -5i. What is |z|^2 (the square of the modulus)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|z|^2 = a^2+b^2 = 4^2+-5^2 = 41.", "strategy": ["Identify a and b", "Compute a^2+b^2"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "41"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "41", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "17", "assumptions": [], "concept_id": null, "constraints": ["Exact integer", "i^2 = -1"], "context": {"method": "symbolic", "topic": "complex"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cmod-4-1-94671e81983b", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 4.175000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "complex"}, "natural_language": "en", "observations": [], "plan": ["Identify a and b", "Compute a^2+b^2"], "prompt": "Let z = -4 + -1i. What is |z|^2 (the square of the modulus)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|z|^2 = a^2+b^2 = -4^2+-1^2 = 17.", "strategy": ["Identify a and b", "Compute a^2+b^2"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "17"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "17", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "25", "assumptions": [], "concept_id": null, "constraints": ["Exact integer", "i^2 = -1"], "context": {"method": "symbolic", "topic": "complex"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cmod-0-5-754abfb7ceb4", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 3.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "complex"}, "natural_language": "en", "observations": [], "plan": ["Identify a and b", "Compute a^2+b^2"], "prompt": "Let z = 0 + 5i. What is |z|^2 (the square of the modulus)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|z|^2 = a^2+b^2 = 0^2+5^2 = 25.", "strategy": ["Identify a and b", "Compute a^2+b^2"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "25"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": null, "constraints": ["Exact integer", "i^2 = -1"], "context": {"method": "symbolic", "topic": "complex"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cmod-1-2-c5691233c8f4", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 3.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "complex"}, "natural_language": "en", "observations": [], "plan": ["Identify a and b", "Compute a^2+b^2"], "prompt": "Let z = 1 + -2i. What is |z|^2 (the square of the modulus)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|z|^2 = a^2+b^2 = 1^2+-2^2 = 5.", "strategy": ["Identify a and b", "Compute a^2+b^2"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16", "assumptions": [], "concept_id": null, "constraints": ["Exact integer", "i^2 = -1"], "context": {"method": "symbolic", "topic": "complex"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cmod-4-0-10dedb874a0a", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 3.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "complex"}, "natural_language": "en", "observations": [], "plan": ["Identify a and b", "Compute a^2+b^2"], "prompt": "Let z = 4 + 0i. What is |z|^2 (the square of the modulus)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "|z|^2 = a^2+b^2 = 4^2+0^2 = 16.", "strategy": ["Identify a and b", "Compute a^2+b^2"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "16"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "16", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "36", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Exact integer", "Combinations, not permutations"], "context": {"method": "symbolic", "topic": "combinatorics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-9-2-d7d3e36a3c97", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "combinatorics"}, "natural_language": "en", "observations": [], "plan": ["Write the binomial formula", "Evaluate"], "prompt": "What is C(9,2), the number of ways to choose 2 items from 9 distinct items without regard to order?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k)=n!/(k!(n-k)!) = 36.", "strategy": ["Write the binomial formula", "Evaluate"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "36", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "28", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Exact integer", "Combinations, not permutations"], "context": {"method": "symbolic", "topic": "combinatorics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-8-2-4f6d6a27da4b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "combinatorics"}, "natural_language": "en", "observations": [], "plan": ["Write the binomial formula", "Evaluate"], "prompt": "What is C(8,2), the number of ways to choose 2 items from 8 distinct items without regard to order?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k)=n!/(k!(n-k)!) = 28.", "strategy": ["Write the binomial formula", "Evaluate"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "28", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "35", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Exact integer", "Combinations, not permutations"], "context": {"method": "symbolic", "topic": "combinatorics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-7-3-7fb0721938f0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "combinatorics"}, "natural_language": "en", "observations": [], "plan": ["Write the binomial formula", "Evaluate"], "prompt": "What is C(7,3), the number of ways to choose 3 items from 7 distinct items without regard to order?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k)=n!/(k!(n-k)!) = 35.", "strategy": ["Write the binomial formula", "Evaluate"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "35", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "21", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Exact integer", "Combinations, not permutations"], "context": {"method": "symbolic", "topic": "combinatorics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-7-2-90973cb0897a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "combinatorics"}, "natural_language": "en", "observations": [], "plan": ["Write the binomial formula", "Evaluate"], "prompt": "What is C(7,2), the number of ways to choose 2 items from 7 distinct items without regard to order?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k)=n!/(k!(n-k)!) = 21.", "strategy": ["Write the binomial formula", "Evaluate"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "21", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "70", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Exact integer", "Combinations, not permutations"], "context": {"method": "symbolic", "topic": "combinatorics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-8-4-7669790fa1a5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "combinatorics"}, "natural_language": "en", "observations": [], "plan": ["Write the binomial formula", "Evaluate"], "prompt": "What is C(8,4), the number of ways to choose 4 items from 8 distinct items without regard to order?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k)=n!/(k!(n-k)!) = 70.", "strategy": ["Write the binomial formula", "Evaluate"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "70", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Exact integer", "Combinations, not permutations"], "context": {"method": "symbolic", "topic": "combinatorics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-5-4-01c0109cc80a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "combinatorics"}, "natural_language": "en", "observations": [], "plan": ["Write the binomial formula", "Evaluate"], "prompt": "What is C(5,4), the number of ways to choose 4 items from 5 distinct items without regard to order?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k)=n!/(k!(n-k)!) = 5.", "strategy": ["Write the binomial formula", "Evaluate"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "84", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Exact integer", "Combinations, not permutations"], "context": {"method": "symbolic", "topic": "combinatorics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-bin-9-3-edf57de186bb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "combinatorics"}, "natural_language": "en", "observations": [], "plan": ["Write the binomial formula", "Evaluate"], "prompt": "What is C(9,3), the number of ways to choose 3 items from 9 distinct items without regard to order?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C(n,k)=n!/(k!(n-k)!) = 84.", "strategy": ["Write the binomial formula", "Evaluate"], "task_type": "discrete_mathematics", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "84", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-7", "assumptions": [], "concept_id": "python.loops", "constraints": ["2×2 determinant", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-det2-1-4-1-3-7c1e76977e43", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Apply ad-bc"], "prompt": "What is det([[-1, 4], [1, 3]]) for a 2×2 matrix?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "ad-bc = -1·3 - 4·1 = -7.", "strategy": ["Apply ad-bc"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-7"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-4", "assumptions": [], "concept_id": "python.loops", "constraints": ["2×2 determinant", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-det2-3-4-1-0-fa6da1964252", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Apply ad-bc"], "prompt": "What is det([[3, -4], [-1, 0]]) for a 2×2 matrix?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "ad-bc = 3·0 - -4·-1 = -4.", "strategy": ["Apply ad-bc"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": [], "concept_id": "python.loops", "constraints": ["2×2 determinant", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-det2-4-2-0-3-f3e3179f4463", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.675}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Apply ad-bc"], "prompt": "What is det([[4, -2], [0, 3]]) for a 2×2 matrix?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "ad-bc = 4·3 - -2·0 = 12.", "strategy": ["Apply ad-bc"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "12"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-15", "assumptions": [], "concept_id": "python.loops", "constraints": ["2×2 determinant", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-det2-3-3-4-1-5218e762667d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 3.425}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Apply ad-bc"], "prompt": "What is det([[3, -3], [-4, -1]]) for a 2×2 matrix?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "ad-bc = 3·-1 - -3·-4 = -15.", "strategy": ["Apply ad-bc"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-15"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-15", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8", "assumptions": [], "concept_id": "python.loops", "constraints": ["2×2 determinant", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-det2-2-0-4-4-af1ced45af79", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Apply ad-bc"], "prompt": "What is det([[-2, 0], [4, -4]]) for a 2×2 matrix?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "ad-bc = -2·-4 - 0·4 = 8.", "strategy": ["Apply ad-bc"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "8"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "python.loops", "constraints": ["2×2 determinant", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-det2-4-2-3-1-512d5a43b473", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.4, "prompt_length": 0.25, "tests": 0.0, "total": 2.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Apply ad-bc"], "prompt": "What is det([[4, 2], [-3, -1]]) for a 2×2 matrix?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "ad-bc = 4·-1 - 2·-3 = 2.", "strategy": ["Apply ad-bc"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "8", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Coprime to the modulus", "Least positive residue"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inv-15-17-35e45567ce7e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Extended Euclid or trial", "Check a·inv ≡ 1"], "prompt": "Find the inverse of 15 modulo 17 in 1..16.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "15·8 ≡ 1 (mod 17).", "strategy": ["Extended Euclid or trial", "Check a·inv ≡ 1"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Coprime to the modulus", "Least positive residue"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inv-9-17-95ee5c65825b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Extended Euclid or trial", "Check a·inv ≡ 1"], "prompt": "Find the inverse of 9 modulo 17 in 1..16.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "9·2 ≡ 1 (mod 17).", "strategy": ["Extended Euclid or trial", "Check a·inv ≡ 1"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Coprime to the modulus", "Least positive residue"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inv-9-11-d5c19f4337e0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Extended Euclid or trial", "Check a·inv ≡ 1"], "prompt": "Find the inverse of 9 modulo 11 in 1..10.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "9·5 ≡ 1 (mod 11).", "strategy": ["Extended Euclid or trial", "Check a·inv ≡ 1"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Coprime to the modulus", "Least positive residue"], "context": {"method": "symbolic", "topic": "number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-inv-8-11-677708ab9842", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "number_theory"}, "natural_language": "en", "observations": [], "plan": ["Extended Euclid or trial", "Check a·inv ≡ 1"], "prompt": "Find the inverse of 8 modulo 11 in 1..10.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "8·7 ≡ 1 (mod 11).", "strategy": ["Extended Euclid or trial", "Check a·inv ≡ 1"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "12", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Composition is f(g(x)), not g(f(x))"], "context": {"method": "symbolic", "topic": "functions"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comp-4-1-2-feac199769ab", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 1.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "functions"}, "natural_language": "en", "observations": [], "plan": ["Evaluate g first", "Apply f"], "prompt": "Let f(x)=4x and g(x)=1x+1. What is (f ∘ g)(2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "g(2)=3, then f of that is 12.", "strategy": ["Evaluate g first", "Apply f"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "12"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "45", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Composition is f(g(x)), not g(f(x))"], "context": {"method": "symbolic", "topic": "functions"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comp-5-4-2-688b4d00c118", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 1.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "functions"}, "natural_language": "en", "observations": [], "plan": ["Evaluate g first", "Apply f"], "prompt": "Let f(x)=5x and g(x)=4x+1. What is (f ∘ g)(2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "g(2)=9, then f of that is 45.", "strategy": ["Evaluate g first", "Apply f"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "45"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "45", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "52", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Composition is f(g(x)), not g(f(x))"], "context": {"method": "symbolic", "topic": "functions"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comp-4-4-3-4ef247827231", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 1.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "functions"}, "natural_language": "en", "observations": [], "plan": ["Evaluate g first", "Apply f"], "prompt": "Let f(x)=4x and g(x)=4x+1. What is (f ∘ g)(3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "g(3)=13, then f of that is 52.", "strategy": ["Evaluate g first", "Apply f"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "52"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "52", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "35", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Composition is f(g(x)), not g(f(x))"], "context": {"method": "symbolic", "topic": "functions"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comp-5-2-3-d7086734c255", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 1.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "functions"}, "natural_language": "en", "observations": [], "plan": ["Evaluate g first", "Apply f"], "prompt": "Let f(x)=5x and g(x)=2x+1. What is (f ∘ g)(3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "g(3)=7, then f of that is 35.", "strategy": ["Evaluate g first", "Apply f"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "35"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "35", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Composition is f(g(x)), not g(f(x))"], "context": {"method": "symbolic", "topic": "functions"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comp-2-3-3-b31650c1f48f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 1.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "functions"}, "natural_language": "en", "observations": [], "plan": ["Evaluate g first", "Apply f"], "prompt": "Let f(x)=2x and g(x)=3x+1. What is (f ∘ g)(3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "g(3)=10, then f of that is 20.", "strategy": ["Evaluate g first", "Apply f"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "20"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "20", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "25", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Composition is f(g(x)), not g(f(x))"], "context": {"method": "symbolic", "topic": "functions"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-comp-5-4-1-775378ca4230", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 1.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "functions"}, "natural_language": "en", "observations": [], "plan": ["Evaluate g first", "Apply f"], "prompt": "Let f(x)=5x and g(x)=4x+1. What is (f ∘ g)(1)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "g(1)=5, then f of that is 25.", "strategy": ["Evaluate g first", "Apply f"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "25"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Distinct linear factors", "Cover-up method"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-pf-5-6-a7ac1124534b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.75, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 4.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Cover-up at x=a", "Simplify A"], "prompt": "Decompose 1/((x-5)(x-6)) into partial fractions A/(x-5)+B/(x-6). Report A as a simplified rational.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A=1/(5-6)=-1. Check: B=1/(6-5)=1.", "strategy": ["Cover-up at x=a", "Simplify A"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1/3", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Distinct linear factors", "Cover-up method"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-pf-3-6-99605d057e26", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 4.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Cover-up at x=a", "Simplify A"], "prompt": "Decompose 1/((x-3)(x-6)) into partial fractions A/(x-3)+B/(x-6). Report A as a simplified rational.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A=1/(3-6)=-1/3. Check: B=1/(6-3)=1/3.", "strategy": ["Cover-up at x=a", "Simplify A"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-1/3"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-1/3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1/4", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Distinct linear factors", "Cover-up method"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-pf-2-6-b3959b6a801c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 4.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Cover-up at x=a", "Simplify A"], "prompt": "Decompose 1/((x-2)(x-6)) into partial fractions A/(x-2)+B/(x-6). Report A as a simplified rational.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A=1/(2-6)=-1/4. Check: B=1/(6-2)=1/4.", "strategy": ["Cover-up at x=a", "Simplify A"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-1/4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-1/4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1/2", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Distinct linear factors", "Cover-up method"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-pf-2-4-e61fd09644e3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 4.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Cover-up at x=a", "Simplify A"], "prompt": "Decompose 1/((x-2)(x-4)) into partial fractions A/(x-2)+B/(x-4). Report A as a simplified rational.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A=1/(2-4)=-1/2. Check: B=1/(4-2)=1/2.", "strategy": ["Cover-up at x=a", "Simplify A"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-1/2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-1/2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1/2", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Distinct linear factors", "Cover-up method"], "context": {"method": "symbolic", "topic": "algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-pf-5-7-229b75198fdf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 2.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 4.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "algebra"}, "natural_language": "en", "observations": [], "plan": ["Cover-up at x=a", "Simplify A"], "prompt": "Decompose 1/((x-5)(x-7)) into partial fractions A/(x-5)+B/(x-7). Report A as a simplified rational.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A=1/(5-7)=-1/2. Check: B=1/(7-5)=1/2.", "strategy": ["Cover-up at x=a", "Simplify A"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-1/2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-1/2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "784", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Closed form", "Exact integer"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sigma-cubes-7-967e6a917f98", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.1, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Recall the formula", "Substitute n"], "prompt": "What is sum_{k=1}^{7} k^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "(n(n+1)/2)^2 = 784.", "strategy": ["Recall the formula", "Substitute n"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "784", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8281", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Closed form", "Exact integer"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sigma-cubes-13-95160bedaf75", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.1, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Recall the formula", "Substitute n"], "prompt": "What is sum_{k=1}^{13} k^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "(n(n+1)/2)^2 = 8281.", "strategy": ["Recall the formula", "Substitute n"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "8281", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "289", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Closed form", "Exact integer"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sigma-odds-17-ad5725f35806", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.275, "tests": 0.0, "total": 2.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Recall the formula", "Substitute n"], "prompt": "What is the sum of the first 17 positive odd numbers?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The sum is n^2 = 289.", "strategy": ["Recall the formula", "Substitute n"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "289", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "23409", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Closed form", "Exact integer"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sigma-cubes-17-05aa47f77a6c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.1, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Recall the formula", "Substitute n"], "prompt": "What is sum_{k=1}^{17} k^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "(n(n+1)/2)^2 = 23409.", "strategy": ["Recall the formula", "Substitute n"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "23409", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "400", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Closed form", "Exact integer"], "context": {"method": "symbolic", "topic": "sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sigma-odds-20-56a0a45e4035", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.275, "tests": 0.0, "total": 2.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sequences"}, "natural_language": "en", "observations": [], "plan": ["Recall the formula", "Substitute n"], "prompt": "What is the sum of the first 20 positive odd numbers?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The sum is n^2 = 400.", "strategy": ["Recall the formula", "Substitute n"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "400", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "-3", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Diagonal matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-eig-1-3-4c829817de4e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 2.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 5.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Read the diagonal", "Multiply"], "prompt": "The diagonal matrix diag(1, -3) has eigenvalues 1 and -3. What is the product of the eigenvalues?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Product of eigenvalues equals det = 1·-3 = -3.", "strategy": ["Read the diagonal", "Multiply"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-3"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-6", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Diagonal matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-eig-2-3-281cf73ac634", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 2.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 5.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Read the diagonal", "Multiply"], "prompt": "The diagonal matrix diag(-2, 3) has eigenvalues -2 and 3. What is the product of the eigenvalues?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Product of eigenvalues equals det = -2·3 = -6.", "strategy": ["Read the diagonal", "Multiply"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-6"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Diagonal matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-eig-1-4-57812a707dde", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 2.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Read the diagonal", "Multiply"], "prompt": "The diagonal matrix diag(1, 4) has eigenvalues 1 and 4. What is the product of the eigenvalues?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Product of eigenvalues equals det = 1·4 = 4.", "strategy": ["Read the diagonal", "Multiply"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-15", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Diagonal matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-eig-5-3-595dc808e5d0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 2.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 5.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Read the diagonal", "Multiply"], "prompt": "The diagonal matrix diag(5, -3) has eigenvalues 5 and -3. What is the product of the eigenvalues?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Product of eigenvalues equals det = 5·-3 = -15.", "strategy": ["Read the diagonal", "Multiply"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-15"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-15", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Diagonal matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-eig-3-0-e4796da90a5d", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 2.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 5.125}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Read the diagonal", "Multiply"], "prompt": "The diagonal matrix diag(-3, 0) has eigenvalues -3 and 0. What is the product of the eigenvalues?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Product of eigenvalues equals det = -3·0 = 0.", "strategy": ["Read the diagonal", "Multiply"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "0"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-16", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Diagonal matrix", "Exact integer"], "context": {"method": "symbolic", "topic": "linear_algebra"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-eig-4-4-6a28be1c6f06", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 2.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 5.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "linear_algebra"}, "natural_language": "en", "observations": [], "plan": ["Read the diagonal", "Multiply"], "prompt": "The diagonal matrix diag(-4, 4) has eigenvalues -4 and 4. What is the product of the eigenvalues?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Product of eigenvalues equals det = -4·4 = -16.", "strategy": ["Read the diagonal", "Multiply"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-16"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-16", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "3", "assumptions": [], "concept_id": null, "constraints": ["Integer logarithm", "Exact power"], "context": {"method": "symbolic", "topic": "logarithms"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-log-8-3-2396a47cc813", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.15, "tests": 0.0, "total": 2.0749999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "logarithms"}, "natural_language": "en", "observations": [], "plan": ["Recognize the matching power"], "prompt": "What is log2(8) as an integer?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "2^3 = 8.", "strategy": ["Recognize the matching power"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": null, "constraints": ["Integer logarithm", "Exact power"], "context": {"method": "symbolic", "topic": "logarithms"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-log-5-1-276e70ee90c1", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.15, "tests": 0.0, "total": 2.0749999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "logarithms"}, "natural_language": "en", "observations": [], "plan": ["Recognize the matching power"], "prompt": "What is log5(5) as an integer?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "5^1 = 5.", "strategy": ["Recognize the matching power"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": null, "constraints": ["Integer logarithm", "Exact power"], "context": {"method": "symbolic", "topic": "logarithms"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-log-9-2-e181dc82d5e1", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.15, "tests": 0.0, "total": 2.0749999999999997}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "logarithms"}, "natural_language": "en", "observations": [], "plan": ["Recognize the matching power"], "prompt": "What is log3(9) as an integer?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "3^2 = 9.", "strategy": ["Recognize the matching power"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-5-0-4-1-9e5f01cb3431", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.675}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 5x^2 + (0)x + (4) is divided by (x - -1)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(-1) = 5(-1)^2+(0)(-1)+(4) = 9.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "9"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "9", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-2", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-1-4-2-4-cf804eb6f76a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 1x^2 + (-4)x + (-2) is divided by (x - 4)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(4) = 1(4)^2+(-4)(4)+(-2) = -2.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-1-1-5-1-cd3c091f084f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.675}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 1x^2 + (1)x + (5) is divided by (x - -1)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(-1) = 1(-1)^2+(1)(-1)+(5) = 5.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-1-0-1-3-98adeab5b09b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.425}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 1x^2 + (0)x + (-1) is divided by (x - 3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(3) = 1(3)^2+(0)(3)+(-1) = 8.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "8"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-2-1-4-2-48c79f2ca780", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.675}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 2x^2 + (-1)x + (-4) is divided by (x - 2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(2) = 2(2)^2+(-1)(2)+(-4) = 2.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-5-4-2-1-50f96037ffdf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.875, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 4.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 5x^2 + (4)x + (-2) is divided by (x - -1)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(-1) = 5(-1)^2+(4)(-1)+(-2) = -1.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-3-3-6-1-c8d947295d9a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 3x^2 + (3)x + (6) is divided by (x - 1)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(1) = 3(1)^2+(3)(1)+(6) = 12.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "12"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "19", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-3-3-1-2-fb8b25eef6c3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 3x^2 + (-3)x + (1) is divided by (x - -2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(-2) = 3(-2)^2+(-3)(-2)+(1) = 19.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "19"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "19", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "19", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-2-1-4-3-8b783ba28ec3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.425}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 2x^2 + (-1)x + (4) is divided by (x - 3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(3) = 2(3)^2+(-1)(3)+(4) = 19.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "19"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "19", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "43", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-5-1-5-3-a1a4f0d6e892", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.425}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 5x^2 + (1)x + (-5) is divided by (x - 3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(3) = 5(3)^2+(1)(3)+(-5) = 43.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "43"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "43", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-1-0-2-2-f4f436a22029", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.675}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 1x^2 + (0)x + (2) is divided by (x - -2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(-2) = 1(-2)^2+(0)(-2)+(2) = 6.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "6"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-4-1-4-1-2aca9b7db18e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 4x^2 + (1)x + (4) is divided by (x - 1)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(1) = 4(1)^2+(1)(1)+(4) = 9.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "9"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "9", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "28", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-5-2-4-2-129f05887529", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 5x^2 + (2)x + (4) is divided by (x - 2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(2) = 5(2)^2+(2)(2)+(4) = 28.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "28"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "28", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "13", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-1-1-1-3-a4d0a1f1ea18", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 1x^2 + (-1)x + (1) is divided by (x - -3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(-3) = 1(-3)^2+(-1)(-3)+(1) = 13.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "13"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "13", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-5-4-1-0-01045af93a66", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.675}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 5x^2 + (4)x + (-1) is divided by (x - 0)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(0) = 5(0)^2+(4)(0)+(-1) = -1.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-1-3-5-1-6425699f8f1f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 1x^2 + (3)x + (5) is divided by (x - 1)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(1) = 1(1)^2+(3)(1)+(5) = 9.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "9"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "9", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "41", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-4-3-4-3-2fa3cd71e72e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.875, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 4.175}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 4x^2 + (-3)x + (-4) is divided by (x - -3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(-3) = 4(-3)^2+(-3)(-3)+(-4) = 41.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "41"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "41", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-1-0-1-2-de5fb03a6c8c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.675}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 1x^2 + (0)x + (1) is divided by (x - -2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(-2) = 1(-2)^2+(0)(-2)+(1) = 5.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-1-1-2-1-a8d60f914433", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 1x^2 + (-1)x + (2) is divided by (x - -1)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(-1) = 1(-1)^2+(-1)(-1)+(2) = 4.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "4"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "44", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Polynomial division over the integers", "Exact remainder"], "context": {"method": "symbolic", "topic": "remainder-theorem"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-rt-4-3-1-3-ad4c24460f1c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.425}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "remainder-theorem"}, "natural_language": "en", "observations": [], "plan": ["Evaluate the polynomial at the root of the divisor"], "prompt": "By the remainder theorem, what is the remainder when 4x^2 + (3)x + (-1) is divided by (x - 3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Remainder = p(3) = 4(3)^2+(3)(3)+(-1) = 44.", "strategy": ["Evaluate the polynomial at the root of the divisor"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "44"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "44", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-13", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-9-2-12-4aee4a5752fb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 9 and common difference -2. What is the 12th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 9 + (12-1)·-2 = -13.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-13", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-25", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-11-3-13-669b5abf1172", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 11 and common difference -3. What is the 13th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 11 + (13-1)·-3 = -25.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "55", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-10-5-10-1bf44b4695dd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 10 and common difference 5. What is the 10th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 10 + (10-1)·5 = 55.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "55", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "24", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-8-4-9-7716c8537dc9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term -8 and common difference 4. What is the 9th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = -8 + (9-1)·4 = 24.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "24", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "61", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-5-7-9-736a5bc37a06", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 5 and common difference 7. What is the 9th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 5 + (9-1)·7 = 61.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "61", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-43", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-2-3-16-401eb998eaa4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 2 and common difference -3. What is the 16th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 2 + (16-1)·-3 = -43.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-43", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "22", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-2-4-6-b15729689a6e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 2 and common difference 4. What is the 6th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 2 + (6-1)·4 = 22.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "22", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "27", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-3-3-9-4a6284bb8be4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 3 and common difference 3. What is the 9th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 3 + (9-1)·3 = 27.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "27", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "36", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-6-7-7-3980e33e26f0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term -6 and common difference 7. What is the 7th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = -6 + (7-1)·7 = 36.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "36", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "42", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-12-2-16-fb60e8f29b9b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 12 and common difference 2. What is the 16th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 12 + (16-1)·2 = 42.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "42", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-14", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-11-5-6-31baa7e9bfd0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 11 and common difference -5. What is the 6th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 11 + (6-1)·-5 = -14.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-14", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "15", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-1-2-8-ea9b36406fca", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 1 and common difference 2. What is the 8th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 1 + (8-1)·2 = 15.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "15", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "21", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-9-2-7-547bf19e7bf0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 9 and common difference 2. What is the 7th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 9 + (7-1)·2 = 21.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "21", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "36", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-8-2-15-979b63d78a8c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 8 and common difference 2. What is the 15th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 8 + (15-1)·2 = 36.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "36", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "17", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-3-2-11-d3a14e27cee1", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term -3 and common difference 2. What is the 11th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = -3 + (11-1)·2 = 17.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "17", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-50", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-5-5-10-edf0438dc824", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term -5 and common difference -5. What is the 10th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = -5 + (10-1)·-5 = -50.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-50", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-31", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-5-2-14-69e86fac0307", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term -5 and common difference -2. What is the 14th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = -5 + (14-1)·-2 = -31.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-31", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-13", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-1-2-7-47f5b575841a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term -1 and common difference -2. What is the 7th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = -1 + (7-1)·-2 = -13.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-13", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-23", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-12-5-8-f8605a235325", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term 12 and common difference -5. What is the 8th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 12 + (8-1)·-5 = -23.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-23", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "59", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Exact integer term"], "context": {"method": "symbolic", "topic": "arithmetic-sequence"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-aseq-9-4-18-00f59fe23425", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "arithmetic-sequence"}, "natural_language": "en", "observations": [], "plan": ["Apply a_n = a_1+(n-1)d"], "prompt": "An arithmetic sequence has first term -9 and common difference 4. What is the 18th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = -9 + (18-1)·4 = 59.", "strategy": ["Apply a_n = a_1+(n-1)d"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "59", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-42", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-2-2-6-b2ad0db49fc0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 6 terms of the geometric series with first term 2 and common ratio -2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 2(-2^6-1)/(-2-1) = -42.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-42", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "63", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-1-2-6-be9c1f4621de", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.3}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 6 terms of the geometric series with first term 1 and common ratio 2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 1(2^6-1)/(2-1) = 63.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "63", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "127", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-1-2-7-930a4a4611c4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.3}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 7 terms of the geometric series with first term 1 and common ratio 2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 1(2^7-1)/(2-1) = 127.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "127", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-5", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-1-2-4-f11798dcfc4c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 4 terms of the geometric series with first term 1 and common ratio -2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 1(-2^4-1)/(-2-1) = -5.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1820", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-5-3-6-a0bdd77981fd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.3}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 6 terms of the geometric series with first term 5 and common ratio 3.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 5(3^6-1)/(3-1) = 1820.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "1820", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "121", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-1-3-5-7c72bea7fe92", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.3}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 5 terms of the geometric series with first term 1 and common ratio 3.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 1(3^5-1)/(3-1) = 121.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "121", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-21", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-1-2-6-22052ea300bb", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 6 terms of the geometric series with first term 1 and common ratio -2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 1(-2^6-1)/(-2-1) = -21.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-21", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-25", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-5-2-4-32d84683f2d0", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 4 terms of the geometric series with first term 5 and common ratio -2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 5(-2^4-1)/(-2-1) = -25.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1093", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-1-3-7-b9a55f925954", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.3}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 7 terms of the geometric series with first term 1 and common ratio 3.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 1(3^7-1)/(3-1) = 1093.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "1093", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "215", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-5-2-7-120004984c82", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.375, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.675}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 7 terms of the geometric series with first term 5 and common ratio -2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 5(-2^7-1)/(-2-1) = 215.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "215", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "62", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-2-2-5-0ddc307bf0e3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.3}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 5 terms of the geometric series with first term 2 and common ratio 2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 2(2^5-1)/(2-1) = 62.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "62", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-63", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-3-2-6-2adc2f571bb9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 6 terms of the geometric series with first term 3 and common ratio -2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 3(-2^6-1)/(-2-1) = -63.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-63", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-105", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-5-2-6-d89c7dfec6cd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.925}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 6 terms of the geometric series with first term 5 and common ratio -2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 5(-2^6-1)/(-2-1) = -105.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-105", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2186", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact integer", "Finite geometric sum"], "context": {"method": "symbolic", "topic": "geometric-series"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-gsum-2-3-7-43fba932db6b", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 3.3}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "geometric-series"}, "natural_language": "en", "observations": [], "plan": ["Use the closed geometric-sum formula"], "prompt": "Find the sum of the first 7 terms of the geometric series with first term 2 and common ratio 3.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "S_n = a(r^n-1)/(r-1) = 2(3^7-1)/(3-1) = 2186.", "strategy": ["Use the closed geometric-sum formula"], "task_type": "sequences", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "2186", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "python.loops", "constraints": ["Vertex form", "Exact integer"], "context": {"method": "symbolic", "topic": "parabola"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vert-1-1-2-76a13e1bac33", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "parabola"}, "natural_language": "en", "observations": [], "plan": ["Read k from vertex form"], "prompt": "The parabola y = -1(x - (1))^2 + (2) opens down. What is the y-coordinate of the vertex?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Vertex form y=a(x-h)^2+k has vertex (h,k)=(1,2).", "strategy": ["Read k from vertex form"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "python.loops", "constraints": ["Vertex form", "Exact integer"], "context": {"method": "symbolic", "topic": "parabola"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vert-2-1-5-d1e98131d6ab", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.125}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "parabola"}, "natural_language": "en", "observations": [], "plan": ["Read k from vertex form"], "prompt": "The parabola y = 2(x - (1))^2 + (5) opens up. What is the y-coordinate of the vertex?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Vertex form y=a(x-h)^2+k has vertex (h,k)=(1,5).", "strategy": ["Read k from vertex form"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "python.loops", "constraints": ["Vertex form", "Exact integer"], "context": {"method": "symbolic", "topic": "parabola"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vert-2-0-5-9b04a585f3cf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "parabola"}, "natural_language": "en", "observations": [], "plan": ["Read k from vertex form"], "prompt": "The parabola y = -2(x - (0))^2 + (5) opens down. What is the y-coordinate of the vertex?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Vertex form y=a(x-h)^2+k has vertex (h,k)=(0,5).", "strategy": ["Read k from vertex form"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0", "assumptions": [], "concept_id": "python.loops", "constraints": ["Vertex form", "Exact integer"], "context": {"method": "symbolic", "topic": "parabola"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vert-1-5-0-1e064e891875", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.125}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "parabola"}, "natural_language": "en", "observations": [], "plan": ["Read k from vertex form"], "prompt": "The parabola y = 1(x - (5))^2 + (0) opens up. What is the y-coordinate of the vertex?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Vertex form y=a(x-h)^2+k has vertex (h,k)=(5,0).", "strategy": ["Read k from vertex form"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "0"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "7", "assumptions": [], "concept_id": "python.loops", "constraints": ["Vertex form", "Exact integer"], "context": {"method": "symbolic", "topic": "parabola"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vert-1-3-7-fad1118fcb00", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "parabola"}, "natural_language": "en", "observations": [], "plan": ["Read k from vertex form"], "prompt": "The parabola y = 1(x - (-3))^2 + (7) opens up. What is the y-coordinate of the vertex?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Vertex form y=a(x-h)^2+k has vertex (h,k)=(-3,7).", "strategy": ["Read k from vertex form"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "7"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "7", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-6", "assumptions": [], "concept_id": "python.loops", "constraints": ["Vertex form", "Exact integer"], "context": {"method": "symbolic", "topic": "parabola"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vert-2-4-6-b3ba63589b13", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "parabola"}, "natural_language": "en", "observations": [], "plan": ["Read k from vertex form"], "prompt": "The parabola y = -2(x - (-4))^2 + (-6) opens down. What is the y-coordinate of the vertex?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Vertex form y=a(x-h)^2+k has vertex (h,k)=(-4,-6).", "strategy": ["Read k from vertex form"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-6"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "-8", "assumptions": [], "concept_id": "python.loops", "constraints": ["Vertex form", "Exact integer"], "context": {"method": "symbolic", "topic": "parabola"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-vert-2-3-8-4ecf62907d12", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 0.4, "prompt_length": 0.45, "tests": 0.0, "total": 3.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "parabola"}, "natural_language": "en", "observations": [], "plan": ["Read k from vertex form"], "prompt": "The parabola y = 2(x - (3))^2 + (-8) opens up. What is the y-coordinate of the vertex?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Vertex form y=a(x-h)^2+k has vertex (h,k)=(3,-8).", "strategy": ["Read k from vertex form"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-8"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "65", "assumptions": [], "concept_id": null, "constraints": ["Squared distance, not the root", "Exact integer"], "context": {"method": "symbolic", "topic": "analytic-geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-d3-5-0-4-2-0-0-0292803c3237", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 3.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "analytic-geometry"}, "natural_language": "en", "observations": [], "plan": ["Subtract coordinates", "Sum squares"], "prompt": "What is the squared Euclidean distance between (5,0,-4) and (-2,0,0) in R^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "d^2 = Δx^2+Δy^2+Δz^2 = 65.", "strategy": ["Subtract coordinates", "Sum squares"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "65", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "99", "assumptions": [], "concept_id": null, "constraints": ["Squared distance, not the root", "Exact integer"], "context": {"method": "symbolic", "topic": "analytic-geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-d3-1-1-4-2-2-5-33c2a6796a8c", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 3.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "analytic-geometry"}, "natural_language": "en", "observations": [], "plan": ["Subtract coordinates", "Sum squares"], "prompt": "What is the squared Euclidean distance between (1,1,-4) and (-2,-2,5) in R^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "d^2 = Δx^2+Δy^2+Δz^2 = 99.", "strategy": ["Subtract coordinates", "Sum squares"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "99", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "57", "assumptions": [], "concept_id": null, "constraints": ["Squared distance, not the root", "Exact integer"], "context": {"method": "symbolic", "topic": "analytic-geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-d3-1-0-1-5-5-3-2f59acae3ffd", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 3.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "analytic-geometry"}, "natural_language": "en", "observations": [], "plan": ["Subtract coordinates", "Sum squares"], "prompt": "What is the squared Euclidean distance between (1,0,1) and (5,5,-3) in R^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "d^2 = Δx^2+Δy^2+Δz^2 = 57.", "strategy": ["Subtract coordinates", "Sum squares"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "57", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "86", "assumptions": [], "concept_id": null, "constraints": ["Squared distance, not the root", "Exact integer"], "context": {"method": "symbolic", "topic": "analytic-geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-d3-4-2-2-5-4-3-85ca75288103", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.5, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "analytic-geometry"}, "natural_language": "en", "observations": [], "plan": ["Subtract coordinates", "Sum squares"], "prompt": "What is the squared Euclidean distance between (-4,-2,-2) and (5,-4,-3) in R^3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "d^2 = Δx^2+Δy^2+Δz^2 = 86.", "strategy": ["Subtract coordinates", "Sum squares"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "86", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "9.16515139", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Positive area", "Heron"], "context": {"method": "symbolic", "topic": "heron"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-heron-5-5-4-1-d186a385d767", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 2.975}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "heron"}, "natural_language": "en", "observations": [], "plan": ["Compute semiperimeter", "Apply Heron"], "prompt": "A triangle has side lengths 5, 5, and 4. Using Heron's formula, what is its area?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "s=7.0; area=sqrt(s(s-a)(s-b)(s-c))=9.16515139.", "strategy": ["Compute semiperimeter", "Apply Heron"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"area2": 84.0, "s": 7.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "9.16515139", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "11", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Trace is the diagonal sum"], "context": {"method": "symbolic", "topic": "trace"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-tr-3-4-3-4-5-a958bde9bcac", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 1.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "trace"}, "natural_language": "en", "observations": [], "plan": ["Add diagonal entries"], "prompt": "What is the trace of the matrix [[4, 5, 0], [0, 3, 5], [5, 0, 4]]?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "tr(A)=sum of diagonal entries=11.", "strategy": ["Add diagonal entries"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "11", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "-3", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Trace is the diagonal sum"], "context": {"method": "symbolic", "topic": "trace"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-tr-3-5-1-1-0-a8697368509c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "trace"}, "natural_language": "en", "observations": [], "plan": ["Add diagonal entries"], "prompt": "What is the trace of the matrix [[-5, 0, 0], [0, 1, 0], [0, 0, 1]]?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "tr(A)=sum of diagonal entries=-3.", "strategy": ["Add diagonal entries"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-4", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Trace is the diagonal sum"], "context": {"method": "symbolic", "topic": "trace"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-tr-3-3-6-1-4-ac1aeace319e", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.4, "prompt_length": 0.4, "tests": 0.0, "total": 2.125}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "trace"}, "natural_language": "en", "observations": [], "plan": ["Add diagonal entries"], "prompt": "What is the trace of the matrix [[3, 4, 0], [0, -6, 4], [4, 0, -1]]?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "tr(A)=sum of diagonal entries=-4.", "strategy": ["Add diagonal entries"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Trace is the diagonal sum"], "context": {"method": "symbolic", "topic": "trace"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-tr-2-2-1-3-0c465ffcf570", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.275, "tests": 0.0, "total": 1.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "trace"}, "natural_language": "en", "observations": [], "plan": ["Add diagonal entries"], "prompt": "What is the trace of the matrix [[-2, 3], [3, 1]]?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "tr(A)=sum of diagonal entries=-1.", "strategy": ["Add diagonal entries"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "-1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "86", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-3-3-1-1-2-0-af75161ce588", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(-3,-3,1) and v=(1,-2,0). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(2,1,9); squared length=86.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "86", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "676", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-3-4-2-3-4-0-6a7f07a9f63a", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(3,4,2) and v=(-3,4,0). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(-8,-6,24); squared length=676.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "676", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "120", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-2-4-2-1-3-1-117ac0d9c64d", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.0500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(2,4,2) and v=(-1,-3,1). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(10,-4,-2); squared length=120.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "120", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "56", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-2-2-2-2-1-0-1fdfa9b93e3b", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.0500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(-2,2,2) and v=(-2,-1,0). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(2,-4,6); squared length=56.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "56", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "21", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-0-4-1-1-2-1-814589a1741d", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(0,4,1) and v=(-1,2,1). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(2,-1,4); squared length=21.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "21", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "118", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-1-3-1-2-3-1-3fef439591d6", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(1,3,1) and v=(2,-3,1). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(6,1,-9); squared length=118.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "118", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "72", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-2-2-0-3-1-1-60d789a5cd13", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(-2,2,0) and v=(3,1,1). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(2,2,-8); squared length=72.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "72", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-1-2-0-1-2-1-7b3b20bfc3a2", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(-1,2,0) and v=(-1,2,1). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(2,1,0); squared length=5.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "59", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-3-1-2-2-1-1-0538caff972f", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.0500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(3,-1,2) and v=(-2,1,1). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(-3,-7,1); squared length=59.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "59", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "101", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-2-1-2-2-3-1-4e055e7b225c", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.0500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(2,-1,2) and v=(-2,3,1). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(-7,-6,4); squared length=101.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "101", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-3-2-1-1-0-1-4496722e7b5e", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(-3,2,1) and v=(-1,0,1). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(2,2,2); squared length=12.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-4-0-0-1-1-0-8c0f39834c45", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(4,0,0) and v=(-1,-1,0). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(0,0,-4); squared length=16.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "16", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "68", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-1-2-2-3-2-0-fef1e50138e2", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(1,-2,2) and v=(-3,2,0). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(-4,-6,-4); squared length=68.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "68", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "26", "assumptions": [], "concept_id": null, "constraints": ["3D cross product", "Squared Euclidean norm"], "context": {"method": "symbolic", "topic": "cross-product"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-cross-3-1-0-1-1-1-e61ae44291c4", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 3.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "cross-product"}, "natural_language": "en", "observations": [], "plan": ["Compute cross product", "Sum squares"], "prompt": "Let u=(3,-1,0) and v=(-1,-1,1). What is ||u × v||^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "u×v=(-1,-3,-4); squared length=26.", "strategy": ["Compute cross product", "Sum squares"], "task_type": "linear_algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "26", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "165", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Smaller of the two clock angles", "Degrees"], "context": {"method": "symbolic", "topic": "clock-angle"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-clock-0-30-75114f5571a2", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 3.075}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "clock-angle"}, "natural_language": "en", "observations": [], "plan": ["Place both hands", "Take min(d, 360-d)"], "prompt": "On a 12-hour analog clock, what is the smaller angle in degrees between the hour and minute hands at 00:30?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Hour hand at 0.5*(60h+m)=15.0°, minute at 6m=180°, smaller difference=165.", "strategy": ["Place both hands", "Take min(d, 360-d)"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "165", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "45", "assumptions": [], "concept_id": null, "constraints": ["Exact integer"], "context": {"method": "symbolic", "topic": "triangular"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-tri-9-4b55f7923472", "metadata": {"difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.4, "prompt_length": 0.225, "tests": 0.0, "total": 1.7000000000000002}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "triangular"}, "natural_language": "en", "observations": [], "plan": ["Apply the triangular formula"], "prompt": "What is the 9th triangular number T_n = n(n+1)/2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "T_9=9·10/2=45.", "strategy": ["Apply the triangular formula"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "45", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "163", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-115-8-e46e84cf2dbd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 115 in base 8 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "115 in base 8 is 163 (check: int('163', 8)=115).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "163", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1b", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-27-16-f6139860f990", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 27 in base 16 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "27 in base 16 is 1b (check: int('1b', 16)=27).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "1b", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "50", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-80-16-ba633d879629", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 80 in base 16 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "80 in base 16 is 50 (check: int('50', 16)=80).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "50", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "24", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-20-8-f767662a2451", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 20 in base 8 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "20 in base 8 is 24 (check: int('24', 8)=20).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "24", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "41", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-33-8-032920c7636f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 33 in base 8 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "33 in base 8 is 41 (check: int('41', 8)=33).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "41", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4d", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-77-16-39025a365371", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 77 in base 16 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "77 in base 16 is 4d (check: int('4d', 16)=77).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "4d", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "b8", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-184-16-21d8d5d3ce24", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 184 in base 16 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "184 in base 16 is b8 (check: int('b8', 16)=184).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "b8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2a", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-42-16-30c2feeb62ed", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 42 in base 16 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "42 in base 16 is 2a (check: int('2a', 16)=42).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "2a", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1100101", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-101-2-434180efc208", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 101 in base 2 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "101 in base 2 is 1100101 (check: int('1100101', 2)=101).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "1100101", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "33", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-27-8-20d1ba920f85", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 27 in base 8 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "27 in base 8 is 33 (check: int('33', 8)=27).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "33", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "233", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-155-8-ec543bee26bf", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 155 in base 8 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "155 in base 8 is 233 (check: int('233', 8)=155).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "233", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10110100", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-180-2-a7a12d1e1efd", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 180 in base 2 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "180 in base 2 is 10110100 (check: int('10110100', 2)=180).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "10110100", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "277", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-191-8-b3cb907fb1c6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 191 in base 8 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "191 in base 8 is 277 (check: int('277', 8)=191).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "277", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "302", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["No 0b/0o/0x prefix", "Lowercase hex"], "context": {"method": "symbolic", "topic": "base-conversion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-base-194-8-5dbb080f3c6f", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "base-conversion"}, "natural_language": "en", "observations": [], "plan": ["Repeated division", "Collect remainders"], "prompt": "Write the positive integer 194 in base 8 (no prefix, lowercase if hex).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "194 in base 8 is 302 (check: int('302', 8)=194).", "strategy": ["Repeated division", "Collect remainders"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "302", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "6", "assumptions": [], "concept_id": null, "constraints": ["Inverse proportion", "Exact integer y"], "context": {"method": "symbolic", "topic": "inverse-proportion"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-invp-3-8-4-e9861c11d291", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 2.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "inverse-proportion"}, "natural_language": "en", "observations": [], "plan": ["Compute xy", "Divide by the new x"], "prompt": "y is inversely proportional to x. When x=3, y=8. What is y when x=4?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "xy constant=24; y=24/4=6.", "strategy": ["Compute xy", "Divide by the new x"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "6", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3.125", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-5-45-8bf43e48d757", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 5 and central angle 45 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (45/360)·5^2 = 3.125.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.125", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8.333333333", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-10-30-caccb4cebf0a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 10 and central angle 30 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (30/360)·10^2 = 8.333333333333334.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "8.333333333", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "21.33333333", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-8-120-00867c74ffe9", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 8 and central angle 120 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (120/360)·8^2 = 21.333333333333332.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "21.33333333", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "24", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-12-60-9ffaa1698db6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 12 and central angle 60 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (60/360)·12^2 = 24.0.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "24", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "33.33333333", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-10-120-943f5946ad71", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 10 and central angle 120 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (120/360)·10^2 = 33.333333333333336.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "33.33333333", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8.333333333", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-5-120-1655e5f80f03", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 5 and central angle 120 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (120/360)·5^2 = 8.333333333333334.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "8.333333333", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1.333333333", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-4-30-dd70d400a0d5", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 4 and central angle 30 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (30/360)·4^2 = 1.3333333333333333.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.333333333", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12.25", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-7-90-385ddcde0a18", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 7 and central angle 90 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (90/360)·7^2 = 12.25.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "12.25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20.25", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-9-90-b29226cbbef3", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 9 and central angle 90 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (90/360)·9^2 = 20.25.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20.25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "12", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-12-30-97eb2556e163", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 12 and central angle 30 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (30/360)·12^2 = 12.0.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "12", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4.166666667", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-5-60-ada5626cc0ce", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 5 and central angle 60 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (60/360)·5^2 = 4.166666666666667.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.166666667", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-4-90-98ef1c1bb7f4", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 4 and central angle 90 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (90/360)·4^2 = 4.0.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "50", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Report A/π, not A", "Degrees not radians"], "context": {"method": "symbolic", "topic": "sector"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-sec-10-180-9c4aa90a153c", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 0.8, "prompt_length": 0.55, "tests": 0.0, "total": 3.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "sector"}, "natural_language": "en", "observations": [], "plan": ["Use (θ/360)πr^2", "Divide by π"], "prompt": "A circular sector has radius 10 and central angle 180 degrees. What is its area divided by π (exact decimal or integer)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A/π = (θ/360)r^2 = (180/360)·10^2 = 50.0.", "strategy": ["Use (θ/360)πr^2", "Divide by π"], "task_type": "geometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "50", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "140", "assumptions": [], "concept_id": null, "constraints": ["Positive integers", "Least common multiple"], "context": {"method": "symbolic", "topic": "lcm"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-lcm3-10-7-4-8f9739c260f1", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.125, "tests": 0.0, "total": 1.9249999999999998}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "lcm"}, "natural_language": "en", "observations": [], "plan": ["Prime factors or pairwise lcm"], "prompt": "What is lcm(10, 7, 4)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "lcm(10,7,4)=140.", "strategy": ["Prime factors or pairwise lcm"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "140", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "660", "assumptions": [], "concept_id": null, "constraints": ["Positive integers", "Least common multiple"], "context": {"method": "symbolic", "topic": "lcm"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-lcm3-10-12-11-7b0710379370", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.125, "tests": 0.0, "total": 1.9249999999999998}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "lcm"}, "natural_language": "en", "observations": [], "plan": ["Prime factors or pairwise lcm"], "prompt": "What is lcm(10, 12, 11)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "lcm(10,12,11)=660.", "strategy": ["Prime factors or pairwise lcm"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "660", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8", "assumptions": [], "concept_id": null, "constraints": ["Positive integers", "Least common multiple"], "context": {"method": "symbolic", "topic": "lcm"}, "difficulty": "introductory", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-lcm3-4-4-8-f5e8578743cb", "metadata": {"difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.4, "prompt_length": 0.125, "tests": 0.0, "total": 1.9249999999999998}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "lcm"}, "natural_language": "en", "observations": [], "plan": ["Prime factors or pairwise lcm"], "prompt": "What is lcm(4, 4, 8)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "lcm(4,4,8)=8.", "strategy": ["Prime factors or pairwise lcm"], "task_type": "number_theory", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "5", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Positive a≠1", "Integer result"], "context": {"method": "symbolic", "topic": "logarithms"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-logp-10-3-2-3b7da93bd7b6", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "logarithms"}, "natural_language": "en", "observations": [], "plan": ["Product rule", "log_a(a^k)=k"], "prompt": "Simplify log_10(a^3 · a^2) to an integer.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "log_a(a^5)=5.", "strategy": ["Product rule", "log_a(a^k)=k"], "task_type": "algebra", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Unit circle", "Degrees"], "context": {"method": "symbolic", "topic": "unit-circle"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-uc-0-0-ed861ec86b45", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "unit-circle"}, "natural_language": "en", "observations": [], "plan": ["cos θ is the x-coordinate"], "prompt": "On the unit circle, what is the x-coordinate of the point at 0 degrees from the positive x-axis (standard position)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "cos(0°)=1.", "strategy": ["cos θ is the x-coordinate"], "task_type": "trigonometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Unit circle", "Degrees"], "context": {"method": "symbolic", "topic": "unit-circle"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-uc-90-1-93b56ad2515a", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "unit-circle"}, "natural_language": "en", "observations": [], "plan": ["cos θ is the x-coordinate"], "prompt": "On the unit circle, what is the x-coordinate of the point at 90 degrees from the positive x-axis (standard position)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "cos(90°)=0.", "strategy": ["cos θ is the x-coordinate"], "task_type": "trigonometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "0"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-1", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Unit circle", "Degrees"], "context": {"method": "symbolic", "topic": "unit-circle"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-uc-180-2-8742b7b8d9ac", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.8}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "unit-circle"}, "natural_language": "en", "observations": [], "plan": ["cos θ is the x-coordinate"], "prompt": "On the unit circle, what is the x-coordinate of the point at 180 degrees from the positive x-axis (standard position)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "cos(180°)=-1.", "strategy": ["cos θ is the x-coordinate"], "task_type": "trigonometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Unit circle", "Degrees"], "context": {"method": "symbolic", "topic": "unit-circle"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-uc-270-3-0d5deaeef3d7", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "unit-circle"}, "natural_language": "en", "observations": [], "plan": ["cos θ is the x-coordinate"], "prompt": "On the unit circle, what is the x-coordinate of the point at 270 degrees from the positive x-axis (standard position)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "cos(270°)=0.", "strategy": ["cos θ is the x-coordinate"], "task_type": "trigonometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "0"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Unit circle", "Degrees"], "context": {"method": "symbolic", "topic": "unit-circle"}, "difficulty": "beginner", "domain": "mathematics", "education_level": null, "evidence": null, "id": "or-mathematics-math-uc-360-4-17a771940d18", "metadata": {"concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.4, "prompt_length": 0.5, "tests": 0.0, "total": 2.55}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "topic": "unit-circle"}, "natural_language": "en", "observations": [], "plan": ["cos θ is the x-coordinate"], "prompt": "On the unit circle, what is the x-coordinate of the point at 360 degrees from the positive x-axis (standard position)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.mathematics", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.mathematics", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "cos(360°)=1.", "strategy": ["cos θ is the x-coordinate"], "task_type": "trigonometry", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "If many keys collide, a bucket becomes a list (or similar) and lookup is O(n) in that bucket. Mitigations include randomized per-process hash seeds, switching collided buckets to balanced trees, and keeping load factor bounded with resizing.", "assumptions": [], "concept_id": "cs.data_structures", "constraints": ["Stay at the level of data-structure behaviour, not a specific CVE writeup."], "context": {"audience": "technical"}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-hash-collision-5e3920c52c28", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 3.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Average-case lookup is O(1) under uniform hashing and a load-factor bound.", "Adversarial or highly skewed keys can map to few buckets."], "plan": ["State the average-case assumption", "Describe collision chains or trees", "Name a mitigation"], "prompt": "Explain to a new engineer why a hash table can degrade to linear scan, and name one practical mitigation used in production languages.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-hash-collision", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching item; not executed"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "If many keys collide, a bucket becomes a list (or similar) and lookup is O(n) in that bucket. Mitigations include randomized per-process hash seeds, switching collided buckets to balanced trees, and keeping load factor bounded with resizing.", "strategy": ["State the average-case assumption", "Describe collision chains or trees", "Name a mitigation"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Atomicity: a transaction commits all of its writes or none. Consistency: committed transactions leave integrity rules intact. Isolation: concurrent transactions behave as if serialized per the advertised level. Durability: a committed transaction survives process crash (within the engine's durability contract).", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Do not assume a particular database product."], "context": {"audience": "technical"}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-acid-1317a1120460", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.6, "prompt_length": 0.325, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["The student already knows what a transaction is."], "plan": ["Define atomicity", "Define consistency", "Define isolation", "Define durability"], "prompt": "Teach the four ACID properties with one sentence each, aimed at backend engineers.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-acid", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching item; not executed"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Atomicity: a transaction commits all of its writes or none. Consistency: committed transactions leave integrity rules intact. Isolation: concurrent transactions behave as if serialized per the advertised level. Durability: a committed transaction survives process crash (within the engine's durability contract).", "strategy": ["Define atomicity", "Define consistency", "Define isolation", "Define durability"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "P: decision problems solvable in polynomial time on a deterministic TM. NP: decision problems whose yes-instances have polynomial-time verifiable certificates. P ⊆ NP is known; whether NP ⊆ P is open. NP-complete problems are the hardest in NP under poly-time reductions.", "assumptions": [], "concept_id": "python.classes", "constraints": ["Do not claim the problem is solved.", "Avoid pop-science metaphors as the primary explanation."], "context": {"audience": "technical"}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-p-vs-np-7c74e6c06fa6", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 1.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 4.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["P and NP are classes of decision problems on a deterministic vs nondeterministic Turing machine model (or equivalent)."], "plan": ["Define P", "Define NP", "State the open question"], "prompt": "Give a precise, non-mystical explanation of P vs NP suitable for a CS undergrad who knows Big-O.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-p-vs-np", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching item; not executed"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "P: decision problems solvable in polynomial time on a deterministic TM. NP: decision problems whose yes-instances have polynomial-time verifiable certificates. P ⊆ NP is known; whether NP ⊆ P is open. NP-complete problems are the hardest in NP under poly-time reductions.", "strategy": ["Define P", "Define NP", "State the open question"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "In 10,000 people, about 50 have the condition (0.5%). The test catches ~49.5 of them. Among 9,950 without the condition, 1% false positives ≈ 99.5 people. So about two-thirds of positives are false. A positive is evidence, not near-certainty.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["A numeric posterior is welcome but not required if the base-rate point is clear."], "context": {"audience": "technical"}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-bayes-e16514ae79ca", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 0.8, "prompt_length": 0.625, "tests": 0.0, "total": 3.2249999999999996}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Sensitivity = P(positive | disease)", "Specificity = P(negative | no disease)"], "plan": ["Write the base-rate setup", "Compare false positives to true positives"], "prompt": "A test has 99% sensitivity and 99% specificity. Prevalence is 0.5%. Explain qualitatively whether a positive result means the person 'almost certainly' has the condition.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-bayes", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching item; not executed"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "In 10,000 people, about 50 have the condition (0.5%). The test catches ~49.5 of them. Among 9,950 without the condition, 1% false positives ≈ 99.5 people. So about two-thirds of positives are false. A positive is evidence, not near-certainty.", "strategy": ["Write the base-rate setup", "Compare false positives to true positives"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Do not rebase commits that have been pushed to a shared branch unless the whole team agrees and force-push rules are explicit. Merge commits preserve the real integration topology, which helps incident reconstruction. Rebase is appropriate for local or explicitly throwaway feature branches before first share.", "assumptions": [], "concept_id": "cs.git", "constraints": ["Do not rewrite commits that others have already based work on without an explicit agreement."], "context": {"audience": "technical"}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-git-rebase-2ddb23a4f5c6", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 3.0, "math_ops": 0.5, "observations": 0.6, "plan": 0.8, "prompt_length": 0.4, "tests": 0.0, "total": 6.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["The repository is used by multiple people.", "History will be used for blame and incident review."], "plan": ["Identify the danger of rewriting published history", "State a default policy"], "prompt": "When should a team prefer merge commits over rebasing a shared branch? Give a short policy.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-git-rebase", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching item; not executed"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Do not rebase commits that have been pushed to a shared branch unless the whole team agrees and force-push rules are explicit. Merge commits preserve the real integration topology, which helps incident reconstruction. Rebase is appropriate for local or explicitly throwaway feature branches before first share.", "strategy": ["Identify the danger of rewriting published history", "State a default policy"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Write-through: every write updates cache and backing store before completion; simpler consistency, higher write latency. Write-back: writes hit the cache and mark dirty; backing store updates later. Failure mode: a crash before flush loses dirty data unless another durability mechanism exists.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Stay qualitative."], "context": {"audience": "technical"}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-cache-invalidation-6c77ff5806ed", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.875, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 3.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Single CPU, one cache, backing store is slower."], "plan": ["Define write-through", "Define write-back", "Name a failure mode"], "prompt": "Explain write-through vs write-back caching and one failure mode of write-back.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-cache-invalidation", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching item; not executed"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Write-through: every write updates cache and backing store before completion; simpler consistency, higher write latency. Write-back: writes hit the cache and mark dirty; backing store updates later. Failure mode: a crash before flush loses dirty data unless another durability mechanism exists.", "strategy": ["Define write-through", "Define write-back", "Name a failure mode"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Randomly assign A/B (and ideally a no-fertilizer control) to plots; replicate treatments; block on known gradients (sun, slope); fix harvest protocol and timing; pre-register the yield metric; keep application rates comparable.", "assumptions": [], "concept_id": "python.collections", "constraints": ["Do not invent specific numeric yields."], "context": {"audience": "technical"}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-experimental-control-71175df00fd2", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.6, "plan": 1.6, "prompt_length": 0.55, "tests": 0.0, "total": 4.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Plots vary in sunlight and soil.", "The question is causal, not merely descriptive."], "plan": ["Randomization", "Replication", "Controls", "Measurement protocol"], "prompt": "A lab wants to test whether fertilizer A beats fertilizer B on yield. List four design elements that make the comparison interpretable.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-experimental-control", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching item; not executed"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Randomly assign A/B (and ideally a no-fertilizer control) to plots; replicate treatments; block on known gradients (sun, slope); fix harvest protocol and timing; pre-register the yield metric; keep application rates comparable.", "strategy": ["Randomization", "Replication", "Controls", "Measurement protocol"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Unit-test pure decision logic and adapters with fakes when the branch space is large and I/O would drown signal. Integration-test the seams that actually fail in production: SQL, migrations, auth middleware, serialization. If a bug can only appear when two real components interact, it does not belong solely in a mocked unit test.", "assumptions": [], "concept_id": "cs.http", "constraints": ["Avoid dogma that one layer is always enough."], "context": {"audience": "technical"}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-unit-vs-integration-5226f9cf11b5", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.125, "observations": 0.3, "plan": 0.8, "prompt_length": 0.525, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["The service has business logic, a database, and an HTTP API."], "plan": ["Locate the decision boundary", "State cost vs confidence"], "prompt": "Give a practical rule for when a behaviour belongs in a unit test vs an integration test in a web service.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-unit-vs-integration", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching item; not executed"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Unit-test pure decision logic and adapters with fakes when the branch space is large and I/O would drown signal. Integration-test the seams that actually fail in production: SQL, migrations, auth middleware, serialization. If a bug can only appear when two real components interact, it does not belong solely in a mocked unit test.", "strategy": ["Locate the decision boundary", "State cost vs confidence"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "wait", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Do not ship a change that hard-breaks a supported client"], "context": {"materials": "provided_in_prompt"}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-synth-consensus-99533a515588", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.8999999999999999, "plan": 0.8, "prompt_length": 1.675, "tests": 0.0, "total": 4.075}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["CPU +8% inside budget", "p99 latency improved for large files", "One client rejects new headers"], "plan": ["Separate performance from compatibility", "Treat compatibility as a gate"], "prompt": "Three lab notes follow. Synthesize whether the team should ship the compression change.\n\nNote A: CPU usage rose 8% in staging, well inside budget.\nNote B: p99 latency on the image API fell 22% for files > 1 MB.\nNote C: One internal client still uses a decoder that rejects the new frame header.\nAnswer ship, wait, or rollback and list the blocking issue if not ship.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "synth-consensus", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored synthesis from provided notes only"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Latency and CPU look acceptable, but a known decoder incompatibility is a release blocker. Wait until that client is upgraded or gated.", "strategy": ["Separate performance from compatibility", "Treat compatibility as a gate"], "task_type": "research_synthesis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "bad_feature_flag_on_auth_gw_deploy", "assumptions": [], "concept_id": "python.functions", "constraints": ["Prefer causes that explain locality and timing"], "context": {"materials": "provided_in_prompt"}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-synth-incident-941f288cf497", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 1.2, "plan": 1.2000000000000002, "prompt_length": 1.1, "tests": 0.0, "total": 4.95}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["az-b only", "deploy 4 minutes prior", "DB CPU flat", "flag default true"], "plan": ["Check what changed", "Check where it changed", "Rule out unchanged subsystems"], "prompt": "Given these fragments, name the most likely primary cause (one phrase).\n1) Errors spiked only in az-b.\n2) Deploy of service auth-gw occurred in az-b 4 minutes earlier.\n3) Database CPU was flat.\n4) A feature flag defaulted to true in the new build.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "synth-incident", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored synthesis from provided notes only"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The spatial and temporal coincidence with the az-b auth-gw deploy, plus a default-true flag, dominates; the database is not implicated.", "strategy": ["Check what changed", "Check where it changed", "Rule out unchanged subsystems"], "task_type": "research_synthesis", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "prefer_stronger_consistency_for_shared_docs", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Stay within the stated scenario", "Do not invent statistics"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-qual-tradeoff-ebe4f1c7b742", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.925, "tests": 0.0, "total": 4.15}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Identify the objective", "Name the main tradeoff", "Give a bounded recommendation"], "prompt": "A team can add a strongly consistent cross-region write path or keep region-local writes with async replication. The product is a collaborative document editor. Which option better matches the product, and why, in 4 sentences or fewer?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "qual-tradeoff", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored qualitative item"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Collaborative editors make concurrent conflicting writes user-visible as lost keystrokes or surprising ordering. Region-local async replication optimizes availability and latency at the cost of conflict. For this product, correctness of a shared document usually dominates extra cross-region latency. If a region outage is a bigger threat than edit conflicts, the opposite choice can be justified explicitly.", "strategy": ["Identify the objective", "Name the main tradeoff", "Give a bounded recommendation"], "task_type": "qualitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "minimize_direct_identifiers_and_report_slice_metrics", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Stay within the stated scenario", "Do not invent statistics"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-qual-ethics-eval-f2fc0da8043a", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 2.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 5.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["Identify the objective", "Name the main tradeoff", "Give a bounded recommendation"], "prompt": "An evaluation set for hiring-assist models includes names and schools. State two concrete dataset practices that reduce avoidable harm without claiming fairness is solved.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "qual-ethics-eval", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored qualitative item"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Avoid keeping names, contact data, and other identifiers that are not needed to measure the skill. Report disaggregated error rates on documented slices (e.g., school groups) so failures are visible. Neither practice makes the system fair; they make the evaluation less casually harmful and more inspectable.", "strategy": ["Identify the objective", "Name the main tradeoff", "Give a bounded recommendation"], "task_type": "qualitative_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "write spec, implement, code review", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-0-8-47f8cafae591", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=8"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 8 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 8: write spec, implement, code review (cost 8).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-1-9-82139428d0ff", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=9"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 9 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 9: write spec, implement, code review, docs (cost 9).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-2-10-a297bfe0565e", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=10"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 10 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 10: write spec, implement, code review, qa (cost 10).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-3-11-394428d6a109", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=11"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 11 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 11: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-4-12-b0dc221e56df", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=12"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 12 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 12: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-5-13-d8d1a8dc5f67", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=13"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 13 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 13: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-6-14-6eebbe2a0809", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=14"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 14 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 14: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-7-15-782b813b80ca", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=15"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 15 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 15: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-8-16-c086bfa1f48a", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=16"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 16 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 16: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-9-17-bac57f32e3bb", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=17"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 17 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 17: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-10-18-ce443f55b37d", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=18"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 18 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 18: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-11-19-af7f2c14857a", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=19"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 19 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 19: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-12-20-4f66b7065fd5", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=20"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 20 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 20: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-13-21-de04ee8d5a3d", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=21"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 21 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 21: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-14-22-da13cbba2e86", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=22"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 22 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 22: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-15-23-04eb18a1ae65", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=23"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 23 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 23: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-16-24-b28e2af6ca06", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=24"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 24 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 24: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-17-25-5a8c8df0c875", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=25"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 25 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 25: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-18-26-861040aaf546", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=26"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 26 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 26: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-19-27-defe0cb29c79", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=27"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 27 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 27: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-20-28-9f2e941be463", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=28"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 28 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 28: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-21-29-78ed242bf04e", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=29"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 29 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 29: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-22-30-fdf6472415c9", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=30"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 30 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 30: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-23-31-88191119b80f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=31"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 31 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 31: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-24-32-eca04074b3a8", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=32"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 32 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 32: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-25-33-7d19ce761ae0", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=33"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 33 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 33: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-26-34-7e5cd693e33f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=34"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 34 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 34: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-27-35-63dcde548937", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=35"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 35 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 35: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-28-36-ef3d1623456e", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=36"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 36 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 36: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-29-37-aa52414a39e6", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=37"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 37 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 37: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-30-38-adfa199c001f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=38"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 38 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 38: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-31-39-daeff55cbca7", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=39"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 39 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 39: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-32-40-33dde1468cd6", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=40"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 40 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 40: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-33-41-260561cf3046", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=41"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 41 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 41: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-34-42-9aad694b4f7f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=42"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 42 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 42: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-35-43-a796f6ce9765", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=43"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 43 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 43: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-36-44-e19227650d55", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=44"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 44 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 44: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-37-45-041fdea90ed2", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=45"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 45 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 45: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-38-46-f681caae9886", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=46"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 46 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 46: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-39-47-22fe665f8e95", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=47"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 47 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 47: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-40-48-b28c18f1ecf6", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=48"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 48 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 48: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-41-49-99d8305a07ae", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=49"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 49 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 49: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-42-50-549b455a94a9", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=50"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 50 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 50: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-43-51-0cfab9d6e24d", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=51"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 51 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 51: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-44-52-99640325ec0a", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=52"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 52 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 52: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-45-53-044b9fec73fb", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=53"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 53 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 53: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-46-54-339d8de36d33", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=54"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 54 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 54: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-47-55-1ea696a1b975", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=55"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 55 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 55: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-48-56-840c85e34c4e", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=56"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 56 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 56: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-49-57-7319743b4f51", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=57"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 57 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 57: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-50-58-f3292f25bfe9", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=58"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 58 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 58: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-51-59-a090b6b55b55", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=59"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 59 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 59: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-52-60-76a940fcc57b", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=60"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 60 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 60: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-53-61-d3728002cbd0", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=61"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 61 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 61: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-54-62-39b5edf2ed6b", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=62"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 62 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 62: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-55-63-ee48b677fc0f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=63"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 63 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 63: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-56-64-e2e67afdc654", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=64"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 64 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 64: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-57-65-43cada8d7879", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=65"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 65 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 65: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-58-66-09d7eb714c15", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=66"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 66 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 66: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-59-67-6d4e326d953b", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=67"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 67 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 67: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-60-68-f4580d411307", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=68"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 68 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 68: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-61-69-67121ccb9b97", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=69"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 69 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 69: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-62-70-9cfa6d89251b", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=70"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 70 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 70: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-63-71-6752676f0da5", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=71"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 71 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 71: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-64-72-0639004367e8", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=72"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 72 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 72: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-65-73-7ae8d17a35c1", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=73"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 73 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 73: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-66-74-dbd1392b13d2", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=74"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 74 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 74: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-67-75-0f989c27d730", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=75"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 75 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 75: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-68-76-ac57167585fd", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=76"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 76 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 76: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-69-77-c43060aa89a6", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=77"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 77 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 77: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-70-78-ab582326047f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=78"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 78 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 78: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-71-79-b43534afdb82", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=79"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 79 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 79: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-72-80-3064511f6046", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=80"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 80 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 80: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-73-81-a7421832c975", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=81"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 81 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 81: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-74-82-6eb2e19ea1ac", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=82"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 82 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 82: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-75-83-aee783f4a47b", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=83"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 83 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 83: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-76-84-3e6b238cf130", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=84"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 84 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 84: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-77-85-0b5d7d77798f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=85"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 85 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 85: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-78-86-b4053f93403d", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=86"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 86 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 86: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "write spec, implement, code review, qa, docs", "assumptions": ["Tasks are sequential in the given order"], "concept_id": "python.functions", "constraints": ["Priority order is fixed", "No partial tasks"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-plan-79-87-c712df875766", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 4.025}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["capacity=87"], "plan": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "prompt": "You have 87 engineer-days this week. Tasks and costs: write spec=2, implement=5, code review=1, qa=2, docs=1. Select a prefix of the list (in the given priority order) that fits. Return the chosen task names comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "capacity-check", "verified": true}, "runtime": null, "solution": "Greedy by listed priority until the next task would exceed 87: write spec, implement, code review, qa, docs (cost 11).", "strategy": ["Walk the list", "Take a task if it fits", "Stop at first that does not"], "task_type": "planning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "capacity-check", "passed": true, "result": "write spec, implement, code review, qa, docs", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=2; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-5-0-7ab455f20437", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=5"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 5 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(5/2) = 2; unpaired = 5 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=2; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=3; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-6-1-d7d515bf568d", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=6"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 6 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(6/2) = 3; unpaired = 6 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=3; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=3; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-7-2-76e276765f25", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=7"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 7 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(7/2) = 3; unpaired = 7 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=3; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=4; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-8-3-034bb4672d71", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=8"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 8 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(8/2) = 4; unpaired = 8 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=4; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=4; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-9-4-b35157771765", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=9"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 9 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(9/2) = 4; unpaired = 9 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=4; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=5; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-10-5-39d54e432017", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=10"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 10 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(10/2) = 5; unpaired = 10 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=5; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=5; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-11-6-6de3d8a56d6a", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=11"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 11 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(11/2) = 5; unpaired = 11 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=5; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=6; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-12-7-97855a2e6a9c", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=12"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 12 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(12/2) = 6; unpaired = 12 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=6; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=6; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-13-8-e5164b41352d", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=13"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 13 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(13/2) = 6; unpaired = 13 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=6; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=7; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-14-9-1bea354d1746", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=14"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 14 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(14/2) = 7; unpaired = 14 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=7; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=7; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-15-10-9b8dc3f397cc", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=15"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 15 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(15/2) = 7; unpaired = 15 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=7; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=8; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-16-11-f9438cae82dd", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=16"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 16 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(16/2) = 8; unpaired = 16 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=8; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=8; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-17-12-a4de3be0838e", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=17"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 17 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(17/2) = 8; unpaired = 17 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=8; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=9; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-18-13-0147d797a428", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=18"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 18 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(18/2) = 9; unpaired = 18 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=9; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=9; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-19-14-4953b4a6e9e5", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=19"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 19 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(19/2) = 9; unpaired = 19 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=9; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=10; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-20-15-e3e57d8451a9", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=20"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 20 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(20/2) = 10; unpaired = 20 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=10; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=10; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-21-16-b68d1c4bd19f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=21"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 21 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(21/2) = 10; unpaired = 21 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=10; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=11; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-22-17-fd3e83519a35", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=22"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 22 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(22/2) = 11; unpaired = 22 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=11; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=11; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-23-18-11864f3e784d", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=23"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 23 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(23/2) = 11; unpaired = 23 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=11; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=12; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-24-19-eca37782c974", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=24"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 24 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(24/2) = 12; unpaired = 24 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=12; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=12; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-25-20-3a535dfe2ba9", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=25"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 25 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(25/2) = 12; unpaired = 25 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=12; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=13; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-26-21-398d6b74d683", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=26"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 26 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(26/2) = 13; unpaired = 26 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=13; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=13; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-27-22-6613c44149a4", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=27"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 27 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(27/2) = 13; unpaired = 27 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=13; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=14; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-28-23-0a4230cbe666", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=28"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 28 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(28/2) = 14; unpaired = 28 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=14; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=14; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-29-24-cb5df7becb3b", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=29"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 29 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(29/2) = 14; unpaired = 29 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=14; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=15; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-30-25-39b02583c161", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=30"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 30 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(30/2) = 15; unpaired = 30 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=15; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=15; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-31-26-59343dd483f0", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=31"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 31 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(31/2) = 15; unpaired = 31 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=15; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=16; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-32-27-74c7c2a50e1a", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=32"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 32 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(32/2) = 16; unpaired = 32 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=16; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=16; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-33-28-1eda64ca5ac4", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=33"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 33 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(33/2) = 16; unpaired = 33 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=16; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=17; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-34-29-551b124f4577", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=34"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 34 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(34/2) = 17; unpaired = 34 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=17; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=17; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-35-30-d4173628d657", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=35"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 35 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(35/2) = 17; unpaired = 35 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=17; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=18; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-36-31-f1769b8324a9", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=36"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 36 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(36/2) = 18; unpaired = 36 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=18; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=18; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-37-32-6b5d3a980439", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=37"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 37 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(37/2) = 18; unpaired = 37 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=18; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=19; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-38-33-143671cb3ae6", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=38"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 38 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(38/2) = 19; unpaired = 38 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=19; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=19; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-39-34-60945b367250", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=39"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 39 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(39/2) = 19; unpaired = 39 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=19; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=20; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-40-35-153c3ccce911", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=40"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 40 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(40/2) = 20; unpaired = 40 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=20; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=20; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-41-36-52ca0b45b1c2", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=41"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 41 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(41/2) = 20; unpaired = 41 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=20; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=21; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-42-37-aeda0b79f638", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=42"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 42 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(42/2) = 21; unpaired = 42 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=21; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=21; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-43-38-47239db47065", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=43"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 43 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(43/2) = 21; unpaired = 43 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=21; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=22; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-44-39-4f0633dd87de", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=44"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 44 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(44/2) = 22; unpaired = 44 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=22; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=22; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-45-40-4f5cba657ceb", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=45"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 45 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(45/2) = 22; unpaired = 45 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=22; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=23; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-46-41-496eb61adab1", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=46"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 46 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(46/2) = 23; unpaired = 46 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=23; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=23; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-47-42-39cf46297761", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=47"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 47 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(47/2) = 23; unpaired = 47 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=23; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=24; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-48-43-1a322b679557", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=48"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 48 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(48/2) = 24; unpaired = 48 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=24; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=24; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-49-44-87ff4a95e533", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=49"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 49 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(49/2) = 24; unpaired = 49 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=24; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=25; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-50-45-002c870ebfcb", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=50"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 50 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(50/2) = 25; unpaired = 50 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=25; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=25; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-51-46-bdc266f5a867", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=51"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 51 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(51/2) = 25; unpaired = 51 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=25; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=26; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-52-47-7688e0ab379d", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=52"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 52 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(52/2) = 26; unpaired = 52 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=26; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=26; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-53-48-84def3d0cb00", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=53"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 53 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(53/2) = 26; unpaired = 53 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=26; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=27; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-54-49-7c975d3b6339", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=54"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 54 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(54/2) = 27; unpaired = 54 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=27; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=27; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-55-50-1b3bf8363936", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=55"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 55 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(55/2) = 27; unpaired = 55 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=27; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=28; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-56-51-3229c3952e32", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=56"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 56 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(56/2) = 28; unpaired = 56 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=28; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=28; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-57-52-6c2b329c26a8", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=57"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 57 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(57/2) = 28; unpaired = 57 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=28; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=29; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-58-53-f912c464863e", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=58"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 58 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(58/2) = 29; unpaired = 58 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=29; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=29; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-59-54-43c68a451f0b", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=59"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 59 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(59/2) = 29; unpaired = 59 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=29; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=30; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-60-55-8ae70af89746", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=60"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 60 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(60/2) = 30; unpaired = 60 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=30; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=30; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-61-56-762d7e6a35fb", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=61"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 61 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(61/2) = 30; unpaired = 61 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=30; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=31; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-62-57-4f5eb2334f85", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=62"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 62 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(62/2) = 31; unpaired = 62 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=31; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=31; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-63-58-65efb31ec473", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=63"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 63 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(63/2) = 31; unpaired = 63 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=31; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=32; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-64-59-6f04e866bd0e", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=64"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 64 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(64/2) = 32; unpaired = 64 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=32; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=32; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-65-60-38ff09ca8b1f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=65"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 65 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(65/2) = 32; unpaired = 65 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=32; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=33; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-66-61-a58f2f19b246", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=66"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 66 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(66/2) = 33; unpaired = 66 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=33; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=33; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-67-62-145d337f0d28", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=67"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 67 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(67/2) = 33; unpaired = 67 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=33; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=34; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-68-63-f97a73910bfc", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=68"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 68 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(68/2) = 34; unpaired = 68 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=34; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=34; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-69-64-56a06e008bf2", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=69"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 69 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(69/2) = 34; unpaired = 69 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=34; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=35; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-70-65-2c972f8a13d8", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=70"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 70 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(70/2) = 35; unpaired = 70 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=35; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=35; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-71-66-2f03b1f36917", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=71"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 71 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(71/2) = 35; unpaired = 71 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=35; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=36; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-72-67-ee2b9f6902a5", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=72"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 72 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(72/2) = 36; unpaired = 72 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=36; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=36; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-73-68-f98ac3df3bb5", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=73"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 73 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(73/2) = 36; unpaired = 73 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=36; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=37; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-74-69-8ad27aebb9b1", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=74"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 74 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(74/2) = 37; unpaired = 74 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=37; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=37; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-75-70-baa79bbc15f6", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=75"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 75 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(75/2) = 37; unpaired = 75 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=37; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=38; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-76-71-f755e94aa375", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=76"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 76 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(76/2) = 38; unpaired = 76 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=38; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=38; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-77-72-41a9fe165fae", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=77"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 77 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(77/2) = 38; unpaired = 77 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=38; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=39; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-78-73-0fd79abc1e1d", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=78"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 78 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(78/2) = 39; unpaired = 78 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=39; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=39; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-79-74-6f3f2f67b293", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=79"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 79 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(79/2) = 39; unpaired = 79 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=39; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=40; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-80-75-8eec9282fac0", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=80"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 80 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(80/2) = 40; unpaired = 80 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=40; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=40; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-81-76-0065f87211c5", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=81"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 81 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(81/2) = 40; unpaired = 81 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=40; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=41; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-82-77-57b17c99990b", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=82"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 82 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(82/2) = 41; unpaired = 82 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=41; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=41; unpaired=1", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-83-78-d25ce2c7405b", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=83"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 83 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(83/2) = 41; unpaired = 83 mod 2 = 1.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=41; unpaired=1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "pairs=42; unpaired=0", "assumptions": ["People are indistinguishable for this count"], "concept_id": "python.conditionals", "constraints": ["Pairs are size 2", "No person in two pairs"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-human-pairs-84-79-04d6243172e4", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.575, "tests": 0.0, "total": 3.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["n=84"], "plan": ["Integer divide by 2", "Report remainder"], "prompt": "You must pair 84 on-call engineers into two-person shifts. How many complete pairs can you form, and how many people are left unpaired?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "integer-check", "verified": true}, "runtime": null, "solution": "pairs = floor(84/2) = 42; unpaired = 84 mod 2 = 0.", "strategy": ["Integer divide by 2", "Report remainder"], "task_type": "constraint_satisfaction", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "integer-check", "passed": true, "result": "pairs=42; unpaired=0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "When a consumer cannot keep up, backpressure is a signal that slows or blocks the producer so queues stay bounded. A concrete implementation is a bounded blocking queue: put() waits when full. Alternatives include windowed credit in network protocols and dropping with a documented policy (which is load-shedding, not backpressure).", "assumptions": [], "concept_id": "science.energy", "constraints": ["Be technically specific", "No hidden chain-of-thought dump"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-explain-backpressure-0bc78f5c7038", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.325, "tests": 0.0, "total": 2.9000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["State the mechanism", "Give a concrete implication"], "prompt": "Explain backpressure in a producer-consumer pipeline and one concrete way to implement it.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "explain-backpressure", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored explanation"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "When a consumer cannot keep up, backpressure is a signal that slows or blocks the producer so queues stay bounded. A concrete implementation is a bounded blocking queue: put() waits when full. Alternatives include windowed credit in network protocols and dropping with a documented policy (which is load-shedding, not backpressure).", "strategy": ["State the mechanism", "Give a concrete implication"], "task_type": "explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Retries after uncertain network failure can otherwise capture twice. An idempotency key lets the server recognize a replay and return the original result instead of performing a second side effect. The client must reuse the same key for the same logical attempt and not reuse it for a different capture.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Be technically specific", "No hidden chain-of-thought dump"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-explain-idempotency-df4d9f4e0f33", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 2.5500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["State the mechanism", "Give a concrete implication"], "prompt": "Why do payment capture APIs use idempotency keys? Answer for a programmer implementing retries.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "explain-idempotency", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored explanation"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Retries after uncertain network failure can otherwise capture twice. An idempotency key lets the server recognize a replay and return the original result instead of performing a second side effect. The client must reuse the same key for the same logical attempt and not reuse it for a different capture.", "strategy": ["State the mechanism", "Give a concrete implication"], "task_type": "explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Statistical significance is not the same as practical significance or causal cleanliness. Ask: is 0.02pp worth the complexity and risk; were users randomized; is the metric gamed; are segments harmed; and does the experiment capture long-term effects.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Be technically specific", "No hidden chain-of-thought dump"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-explain-statistical-vs-practical-9f828ef7d90c", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 2.95}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["State the mechanism", "Give a concrete implication"], "prompt": "A change improves conversion 0.02 percentage points with p<0.01 on 50 million sessions. What should a product meeting still ask?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "explain-statistical-vs-practical", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored explanation"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Statistical significance is not the same as practical significance or causal cleanliness. Ask: is 0.02pp worth the complexity and risk; were users randomized; is the metric gamed; are segments harmed; and does the experiment capture long-term effects.", "strategy": ["State the mechanism", "Give a concrete implication"], "task_type": "explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Pin seeds; pin software versions (lockfile or container digest); publish the exact split or generator with data hashes. Together these let someone regenerate the figure or show that they cannot.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Be technically specific", "No hidden chain-of-thought dump"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-explain-repro-science-e4b987e18600", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 0.8, "prompt_length": 0.625, "tests": 0.0, "total": 2.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["State the mechanism", "Give a concrete implication"], "prompt": "A computational paper reports a figure but not the random seed, dependency versions, or input split. What three artifacts would make the figure independently checkable?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "explain-repro-science", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored explanation"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Pin seeds; pin software versions (lockfile or container digest); publish the exact split or generator with data hashes. Together these let someone regenerate the figure or show that they cannot.", "strategy": ["State the mechanism", "Give a concrete implication"], "task_type": "explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "An error budget is the allowed unreliability derived from an SLO (for example 0.1% unavailability in 30 days). It turns reliability from a slogan into a spending account: if budget remains, ship faster; if it is burned, freeze risky changes and invest in reliability until the SLO recovers.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Be technically specific", "No hidden chain-of-thought dump"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-explain-sre-error-budget-17e53eb5e2a1", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["State the mechanism", "Give a concrete implication"], "prompt": "In one paragraph, what is an error budget for and what decision does it unlock?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "explain-sre-error-budget", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored explanation"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "An error budget is the allowed unreliability derived from an SLO (for example 0.1% unavailability in 30 days). It turns reliability from a slogan into a spending account: if budget remains, ship faster; if it is burned, freeze risky changes and invest in reliability until the SLO recovers.", "strategy": ["State the mechanism", "Give a concrete implication"], "task_type": "explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Float32 rounding is not associative; partial sums round differently depending on order and magnitude. Accumulate in float64 (or Kahan/Neumaier compensation) and cast once at the end if a 32-bit store is required.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Be technically specific", "No hidden chain-of-thought dump"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-explain-floating-sum-bc4a3594475d", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 0.8, "prompt_length": 0.475, "tests": 0.0, "total": 3.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["State the mechanism", "Give a concrete implication"], "prompt": "Why can summing millions of float32 values depend on order? What is a safer accumulator type for a total?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "explain-floating-sum", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored explanation"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Float32 rounding is not associative; partial sums round differently depending on order and magnitude. Accumulate in float64 (or Kahan/Neumaier compensation) and cast once at the end if a 32-bit store is required.", "strategy": ["State the mechanism", "Give a concrete implication"], "task_type": "explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "During a network partition a system cannot be both available for all clients and strictly consistent. Practical systems choose which clients may wait or see stale/error responses, and they document the consistency model in the happy path as well.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Be technically specific", "No hidden chain-of-thought dump"], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-explain-cap-1b3f0e299ff2", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 0.8, "prompt_length": 0.3, "tests": 0.0, "total": 2.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["State the mechanism", "Give a concrete implication"], "prompt": "State the CAP tradeoff in operational terms for a partitioned key-value store.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "explain-cap", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored explanation"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "During a network partition a system cannot be both available for all clients and strictly consistent. Practical systems choose which clients may wait or see stale/error responses, and they document the consistency model in the happy path as well.", "strategy": ["State the mechanism", "Give a concrete implication"], "task_type": "explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "An oracle decides whether a run is correct. Survival only shows that one path did not abort, not that codegen matched the language semantics. Stronger oracles include differential tests against another implementation, round-trip execution, or checking explicit invariants on IR.", "assumptions": [], "concept_id": "python.testing", "constraints": ["Be technically specific", "No hidden chain-of-thought dump"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-explain-test-oracle-ad2812fa7a02", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 1.4, "keywords": 3.0, "math_ops": 0.25, "observations": 0.0, "plan": 0.8, "prompt_length": 0.425, "tests": 0.0, "total": 5.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": [], "plan": ["State the mechanism", "Give a concrete implication"], "prompt": "What is a test oracle, and why is 'assert not crashed' a weak oracle for a compiler?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "explain-test-oracle", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored explanation"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "An oracle decides whether a run is correct. Survival only shows that one path did not abort, not that codegen matched the language semantics. Stronger oracles include differential tests against another implementation, round-trip execution, or checking explicit invariants on IR.", "strategy": ["State the mechanism", "Give a concrete implication"], "task_type": "explanation", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "spent=20; remaining=10; cart=laptopsx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-0-30-1-d10e27e71c50", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=30"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 30. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=20; remaining=10; cart=laptopsx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=20; remaining=10; cart=laptopsx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=24; remaining=7; cart=laptopsx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-1-31-2-eaa26bf4a709", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=31"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 31. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=24; remaining=7; cart=laptopsx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=24; remaining=7; cart=laptopsx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=32; remaining=0; cart=laptopsx2,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-2-32-3-66413bc554fe", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=32"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 32. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=32; remaining=0; cart=laptopsx2,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=32; remaining=0; cart=laptopsx2,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=20; remaining=13; cart=laptopsx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-3-33-1-89fe57e810c4", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=33"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 33. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=20; remaining=13; cart=laptopsx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=20; remaining=13; cart=laptopsx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=32; remaining=2; cart=laptopsx2,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-4-34-2-5a0ec8fe1c61", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=34"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 34. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=32; remaining=2; cart=laptopsx2,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=32; remaining=2; cart=laptopsx2,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=32; remaining=3; cart=laptopsx2,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-5-35-3-553dae5185f8", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=35"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 35. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=32; remaining=3; cart=laptopsx2,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=32; remaining=3; cart=laptopsx2,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=35; remaining=1; cart=laptopsx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-6-36-1-df4ea43cc315", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=36"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 36. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=35; remaining=1; cart=laptopsx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=35; remaining=1; cart=laptopsx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=32; remaining=5; cart=laptopsx2,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-7-37-2-1aee9bc95460", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=37"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 37. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=32; remaining=5; cart=laptopsx2,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=32; remaining=5; cart=laptopsx2,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=36; remaining=2; cart=laptopsx3", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-8-38-3-dad9bcc27bf5", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=38"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 38. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=36; remaining=2; cart=laptopsx3.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=36; remaining=2; cart=laptopsx3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=35; remaining=4; cart=laptopsx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-9-39-1-1376ae1fb0fb", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=39"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 39. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=35; remaining=4; cart=laptopsx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=35; remaining=4; cart=laptopsx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=40; remaining=0; cart=laptopsx2,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-10-40-2-8de5a3e98122", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=40"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 40. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=40; remaining=0; cart=laptopsx2,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=40; remaining=0; cart=laptopsx2,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=36; remaining=5; cart=laptopsx3", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-11-41-3-8e34793ef013", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=41"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 41. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=36; remaining=5; cart=laptopsx3.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=36; remaining=5; cart=laptopsx3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=35; remaining=7; cart=laptopsx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-12-42-1-aa5be9fdc326", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=42"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 42. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=35; remaining=7; cart=laptopsx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=35; remaining=7; cart=laptopsx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=40; remaining=3; cart=laptopsx2,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-13-43-2-282db34d8a4c", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=43"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 43. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=40; remaining=3; cart=laptopsx2,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=40; remaining=3; cart=laptopsx2,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=44; remaining=0; cart=laptopsx3,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-14-44-3-638f81e5740b", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=44"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 44. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=44; remaining=0; cart=laptopsx3,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=44; remaining=0; cart=laptopsx3,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=35; remaining=10; cart=laptopsx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-15-45-1-7b01ff52261f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=45"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 45. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=35; remaining=10; cart=laptopsx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=35; remaining=10; cart=laptopsx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=40; remaining=6; cart=laptopsx2,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-16-46-2-3c5c4566a43c", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=46"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 46. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=40; remaining=6; cart=laptopsx2,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=40; remaining=6; cart=laptopsx2,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=44; remaining=3; cart=laptopsx3,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-17-47-3-3c975e84abe6", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=47"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 47. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=44; remaining=3; cart=laptopsx3,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=44; remaining=3; cart=laptopsx3,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=35; remaining=13; cart=laptopsx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-18-48-1-be12b5bd2a94", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=48"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 48. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=35; remaining=13; cart=laptopsx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=35; remaining=13; cart=laptopsx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=40; remaining=9; cart=laptopsx2,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-19-49-2-357e94a67c1f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=49"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 49. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=40; remaining=9; cart=laptopsx2,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=40; remaining=9; cart=laptopsx2,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=44; remaining=6; cart=laptopsx3,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-20-50-3-d68125c2b798", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=50"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 50. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=44; remaining=6; cart=laptopsx3,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=44; remaining=6; cart=laptopsx3,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=35; remaining=16; cart=laptopsx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-21-51-1-48deb2d782d5", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=51"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 51. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=35; remaining=16; cart=laptopsx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=35; remaining=16; cart=laptopsx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=40; remaining=12; cart=laptopsx2,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-22-52-2-1dc8802ed86a", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=52"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 52. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=40; remaining=12; cart=laptopsx2,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=40; remaining=12; cart=laptopsx2,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=52; remaining=1; cart=laptopsx3,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-23-53-3-42d5542432e8", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=53"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 53. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=52; remaining=1; cart=laptopsx3,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=52; remaining=1; cart=laptopsx3,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=52; remaining=2; cart=laptopsx1,cablesx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-24-54-1-b49d4ebff087", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=54"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 54. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=52; remaining=2; cart=laptopsx1,cablesx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=52; remaining=2; cart=laptopsx1,cablesx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=55; remaining=0; cart=laptopsx2,docksx2,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-25-55-2-2f1937ec74ff", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=55"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 55. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=55; remaining=0; cart=laptopsx2,docksx2,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=55; remaining=0; cart=laptopsx2,docksx2,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=52; remaining=4; cart=laptopsx3,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-26-56-3-47b458bebc3e", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=56"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 56. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=52; remaining=4; cart=laptopsx3,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=52; remaining=4; cart=laptopsx3,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=52; remaining=5; cart=laptopsx1,cablesx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-27-57-1-a095782a8f92", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=57"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 57. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=52; remaining=5; cart=laptopsx1,cablesx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=52; remaining=5; cart=laptopsx1,cablesx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=55; remaining=3; cart=laptopsx2,docksx2,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-28-58-2-c46840df5a1a", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=58"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 58. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=55; remaining=3; cart=laptopsx2,docksx2,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=55; remaining=3; cart=laptopsx2,docksx2,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=52; remaining=7; cart=laptopsx3,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-29-59-3-58ef45d452c4", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=59"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 59. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=52; remaining=7; cart=laptopsx3,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=52; remaining=7; cart=laptopsx3,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=60; remaining=0; cart=laptopsx1,cablesx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-30-60-1-6869fcb12103", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=60"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 60. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=60; remaining=0; cart=laptopsx1,cablesx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=60; remaining=0; cart=laptopsx1,cablesx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=55; remaining=6; cart=laptopsx2,docksx2,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-31-61-2-d8ee33d629a3", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=61"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 61. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=55; remaining=6; cart=laptopsx2,docksx2,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=55; remaining=6; cart=laptopsx2,docksx2,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=60; remaining=2; cart=laptopsx3,docksx3", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-32-62-3-6ee578f28e5d", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=62"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 62. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=60; remaining=2; cart=laptopsx3,docksx3.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=60; remaining=2; cart=laptopsx3,docksx3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=60; remaining=3; cart=laptopsx1,cablesx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-33-63-1-451ace364917", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=63"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 63. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=60; remaining=3; cart=laptopsx1,cablesx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=60; remaining=3; cart=laptopsx1,cablesx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=64; remaining=0; cart=laptopsx2,cablesx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-34-64-2-0acad76e7040", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=64"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 64. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=64; remaining=0; cart=laptopsx2,cablesx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=64; remaining=0; cart=laptopsx2,cablesx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=60; remaining=5; cart=laptopsx3,docksx3", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-35-65-3-f81c3fef4ff3", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=65"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 65. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=60; remaining=5; cart=laptopsx3,docksx3.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=60; remaining=5; cart=laptopsx3,docksx3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=60; remaining=6; cart=laptopsx1,cablesx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-36-66-1-8f37dd07202a", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=66"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 66. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=60; remaining=6; cart=laptopsx1,cablesx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=60; remaining=6; cart=laptopsx1,cablesx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=64; remaining=3; cart=laptopsx2,cablesx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-37-67-2-33c3f210c1e2", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=67"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 67. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=64; remaining=3; cart=laptopsx2,cablesx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=64; remaining=3; cart=laptopsx2,cablesx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=60; remaining=8; cart=laptopsx3,docksx3", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-38-68-3-f02ef978e0d6", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=68"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 68. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=60; remaining=8; cart=laptopsx3,docksx3.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=60; remaining=8; cart=laptopsx3,docksx3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=60; remaining=9; cart=laptopsx1,cablesx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-39-69-1-01ef62a39af3", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=69"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 69. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=60; remaining=9; cart=laptopsx1,cablesx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=60; remaining=9; cart=laptopsx1,cablesx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=64; remaining=6; cart=laptopsx2,cablesx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-40-70-2-4a10d3da865e", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=70"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 70. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=64; remaining=6; cart=laptopsx2,cablesx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=64; remaining=6; cart=laptopsx2,cablesx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=60; remaining=11; cart=laptopsx3,docksx3", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-41-71-3-ac2b8db90cdb", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=71"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 71. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=60; remaining=11; cart=laptopsx3,docksx3.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=60; remaining=11; cart=laptopsx3,docksx3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=60; remaining=12; cart=laptopsx1,cablesx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-42-72-1-a7e3e14f6727", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=72"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 72. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=60; remaining=12; cart=laptopsx1,cablesx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=60; remaining=12; cart=laptopsx1,cablesx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=72; remaining=1; cart=laptopsx2,cablesx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-43-73-2-936911bac143", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=73"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 73. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=72; remaining=1; cart=laptopsx2,cablesx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=72; remaining=1; cart=laptopsx2,cablesx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=60; remaining=14; cart=laptopsx3,docksx3", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-44-74-3-f326db649782", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=74"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 74. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=60; remaining=14; cart=laptopsx3,docksx3.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=60; remaining=14; cart=laptopsx3,docksx3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=0; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-45-75-1-f7b31733d35a", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=75"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 75. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=0; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=0; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=72; remaining=4; cart=laptopsx2,cablesx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-46-76-2-695959960750", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=76"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 76. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=72; remaining=4; cart=laptopsx2,cablesx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=72; remaining=4; cart=laptopsx2,cablesx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=76; remaining=1; cart=laptopsx3,cablesx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-47-77-3-9c7ac5d85bff", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=77"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 77. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=76; remaining=1; cart=laptopsx3,cablesx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=76; remaining=1; cart=laptopsx3,cablesx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=3; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-48-78-1-9640a6592724", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=78"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 78. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=3; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=3; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=72; remaining=7; cart=laptopsx2,cablesx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-49-79-2-a9a64699c355", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=79"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 79. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=72; remaining=7; cart=laptopsx2,cablesx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=72; remaining=7; cart=laptopsx2,cablesx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=76; remaining=4; cart=laptopsx3,cablesx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-50-80-3-41a191d49309", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=80"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 80. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=76; remaining=4; cart=laptopsx3,cablesx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=76; remaining=4; cart=laptopsx3,cablesx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=6; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-51-81-1-fb949538c634", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=81"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 81. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=6; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=6; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=80; remaining=2; cart=laptopsx2,cablesx1,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-52-82-2-4f2437f6fe27", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=82"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 82. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=80; remaining=2; cart=laptopsx2,cablesx1,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=80; remaining=2; cart=laptopsx2,cablesx1,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=76; remaining=7; cart=laptopsx3,cablesx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-53-83-3-572712e1c311", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=83"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 83. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=76; remaining=7; cart=laptopsx3,cablesx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=76; remaining=7; cart=laptopsx3,cablesx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=9; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-54-84-1-12107fa12047", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=84"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 84. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=9; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=9; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=80; remaining=5; cart=laptopsx2,cablesx1,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-55-85-2-766fd923d10f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=85"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 85. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=80; remaining=5; cart=laptopsx2,cablesx1,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=80; remaining=5; cart=laptopsx2,cablesx1,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=84; remaining=2; cart=laptopsx3,cablesx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-56-86-3-7928838f9c23", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=86"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 86. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=84; remaining=2; cart=laptopsx3,cablesx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=84; remaining=2; cart=laptopsx3,cablesx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=12; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-57-87-1-842d95aff398", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=87"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 87. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=12; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=12; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=80; remaining=8; cart=laptopsx2,cablesx1,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-58-88-2-d9f552137633", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=88"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 88. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=80; remaining=8; cart=laptopsx2,cablesx1,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=80; remaining=8; cart=laptopsx2,cablesx1,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=84; remaining=5; cart=laptopsx3,cablesx1,docksx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-59-89-3-6cfed7f69949", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=89"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 89. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=84; remaining=5; cart=laptopsx3,cablesx1,docksx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=84; remaining=5; cart=laptopsx3,cablesx1,docksx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=15; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-60-90-1-40a12a15af98", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=90"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 90. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=15; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=15; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=80; remaining=11; cart=laptopsx2,cablesx1,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-61-91-2-13e4a9ccc2fd", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=91"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 91. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=80; remaining=11; cart=laptopsx2,cablesx1,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=80; remaining=11; cart=laptopsx2,cablesx1,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=92; remaining=0; cart=laptopsx3,cablesx1,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-62-92-3-e65a712f4350", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=92"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 92. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=92; remaining=0; cart=laptopsx3,cablesx1,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=92; remaining=0; cart=laptopsx3,cablesx1,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=18; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-63-93-1-a24a70458875", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=93"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 93. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=18; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=18; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=80; remaining=14; cart=laptopsx2,cablesx1,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-64-94-2-acf7bf56993c", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=94"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 94. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=80; remaining=14; cart=laptopsx2,cablesx1,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=80; remaining=14; cart=laptopsx2,cablesx1,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=92; remaining=3; cart=laptopsx3,cablesx1,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-65-95-3-dd2bf29c82a5", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=95"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 95. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=92; remaining=3; cart=laptopsx3,cablesx1,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=92; remaining=3; cart=laptopsx3,cablesx1,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=21; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-66-96-1-d968fb2b2d59", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=96"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 96. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=21; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=21; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=95; remaining=2; cart=laptopsx2,cablesx1,docksx2,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-67-97-2-c7d029daaf69", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=97"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 97. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=95; remaining=2; cart=laptopsx2,cablesx1,docksx2,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=95; remaining=2; cart=laptopsx2,cablesx1,docksx2,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=92; remaining=6; cart=laptopsx3,cablesx1,docksx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-68-98-3-abe2ba0d8a21", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=98"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 98. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=92; remaining=6; cart=laptopsx3,cablesx1,docksx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=92; remaining=6; cart=laptopsx3,cablesx1,docksx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=24; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-69-99-1-4d262d2fb20f", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=99"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 99. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=24; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=24; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=95; remaining=5; cart=laptopsx2,cablesx1,docksx2,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-70-100-2-3c056a5fe3de", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=100"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 100. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=95; remaining=5; cart=laptopsx2,cablesx1,docksx2,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=95; remaining=5; cart=laptopsx2,cablesx1,docksx2,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=100; remaining=1; cart=laptopsx3,cablesx1,docksx3", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-71-101-3-69b5e4cf7ba3", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=101"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 101. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=100; remaining=1; cart=laptopsx3,cablesx1,docksx3.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=100; remaining=1; cart=laptopsx3,cablesx1,docksx3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=27; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-72-102-1-fcd19ef5b4b1", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=102"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 102. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=27; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=27; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=95; remaining=8; cart=laptopsx2,cablesx1,docksx2,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-73-103-2-2c67558fc511", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=103"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 103. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=95; remaining=8; cart=laptopsx2,cablesx1,docksx2,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=95; remaining=8; cart=laptopsx2,cablesx1,docksx2,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=100; remaining=4; cart=laptopsx3,cablesx1,docksx3", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-74-104-3-7bed4a2bb93a", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=104"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 104. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=100; remaining=4; cart=laptopsx3,cablesx1,docksx3.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=100; remaining=4; cart=laptopsx3,cablesx1,docksx3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=30; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-75-105-1-db0dfe8aeed6", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=105"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 105. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=30; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=30; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=104; remaining=2; cart=laptopsx2,cablesx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-76-106-2-d791066fb588", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=106"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 106. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=104; remaining=2; cart=laptopsx2,cablesx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=104; remaining=2; cart=laptopsx2,cablesx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=100; remaining=7; cart=laptopsx3,cablesx1,docksx3", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-77-107-3-c4296ed27cdd", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=107"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 107. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 3 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=100; remaining=7; cart=laptopsx3,cablesx1,docksx3.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=100; remaining=7; cart=laptopsx3,cablesx1,docksx3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=75; remaining=33; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-78-108-1-c3daf7387598", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=108"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 108. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 1 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=75; remaining=33; cart=laptopsx1,cablesx1,docksx1,monitorsx1.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=75; remaining=33; cart=laptopsx1,cablesx1,docksx1,monitorsx1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "spent=104; remaining=5; cart=laptopsx2,cablesx2", "assumptions": ["Integer units only"], "concept_id": "python.loops", "constraints": ["Do not exceed budget", "Per-item cap as stated", "Listed order"], "context": {}, "difficulty": "intermediate", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-inv-79-109-2-e939df012974", "metadata": {"authorship": "synthetic", "concept_id_inferred": true, "difficulty_score": {"constraints": 2.0999999999999996, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 1.025, "tests": 0.0, "total": 4.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["budget=109"], "plan": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "prompt": "You have a procurement budget of 109. Catalogue (unit cost): laptops=12, cables=40, docks=8, monitors=15. Walk the catalogue in listed order. For each item buy up to 2 units without exceeding the remaining budget. Report spent, remaining, and cart as namexqty comma-separated.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:16Z", "generator": "open_reason.generation.human", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.human", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.617, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "budget-check", "verified": true}, "runtime": null, "solution": "Greedy catalogue walk yields spent=104; remaining=5; cart=laptopsx2,cablesx2.", "strategy": ["Initialize remaining=budget", "For each item buy min(cap, remaining//cost)", "Report totals"], "task_type": "structured_reasoning", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {}, "exit_code": null, "memory_mb": null, "method": "budget-check", "passed": true, "result": "spent=104; remaining=5; cart=laptopsx2,cablesx2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "source_type must be unknown, with an explicit unknown_reason. Do not label it synthetic or human-authored without evidence.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Do not invent a generator."], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-provenance-unknown-76e6688fe40c", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 2.675}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Missing fields are not the same as known synthetic origin."], "plan": ["Set source_type to unknown", "Record unknown_reason"], "prompt": "A dataset row has no source URL and no generator name. What must provenance.source_type be, and what else is required?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-provenance-unknown", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "source_type must be unknown, with an explicit unknown_reason. Do not label it synthetic or human-authored without evidence.", "strategy": ["Set source_type to unknown", "Record unknown_reason"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Auto-approve only turns on original tasks inspired by public structure. Copying page text would require a separate license review and a crawler that this pipeline does not run.", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Do not scrape the named site."], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-verbatim-false-57ac018d3827", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 0.8, "prompt_length": 0.35, "tests": 0.0, "total": 2.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["No crawler copies pages into the release."], "plan": ["State curriculum_use", "State verbatim=false"], "prompt": "Auto-approve enabled a documentation source. Why must verbatim stay false in Open Reason v1?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-verbatim-false", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Auto-approve only turns on original tasks inspired by public structure. Copying page text would require a separate license review and a crawler that this pipeline does not run.", "strategy": ["State curriculum_use", "State verbatim=false"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "No. NC text cannot be relicensed as Apache-2.0. Leave it out of the release or keep the original SPDX on the row; this project does not relicense NC material.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Do not treat public posting as a grant."], "context": {}, "difficulty": "beginner", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-nc-not-relicense-3727818925ac", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 0.8, "prompt_length": 0.375, "tests": 0.0, "total": 2.675}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["NC forbids commercial reuse of the licensed text."], "plan": ["Keep NC off the CC BY release", "Generate original tasks instead if policy allows"], "prompt": "A page is CC BY-NC. Can those sentences be relicensed as Apache-2.0 inside Open Reason?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-nc-not-relicense", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "No. NC text cannot be relicensed as Apache-2.0. Leave it out of the release or keep the original SPDX on the row; this project does not relicense NC material.", "strategy": ["Keep NC off the CC BY release", "Generate original tasks instead if policy allows"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Only after an independent check actually ran and passed (sandbox, sympy, numeric, or a named constraint checker). Reviews without a checker stay unverified even at tier A.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Do not mark verified because a human liked the answer."], "context": {}, "difficulty": "introductory", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-verified-flag-854293b5d562", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.175, "tests": 0.0, "total": 1.975}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["The schema can store a verification object."], "plan": ["Require a check that ran", "Require passed=true"], "prompt": "When is quality.verified allowed to be true?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-verified-flag", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Only after an independent check actually ran and passed (sandbox, sympy, numeric, or a named constraint checker). Reviews without a checker stay unverified even at tier A.", "strategy": ["Require a check that ran", "Require passed=true"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Training on the holdout makes evaluation scores meaningless. Open Reason's benchmark command fails if ids overlap.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Do not mix holdout ids into train."], "context": {}, "difficulty": "introductory", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-holdout-d6031830f684", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 0.8, "prompt_length": 0.225, "tests": 0.0, "total": 2.275}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Both are generated by related pipelines."], "plan": ["Keep disjoint ids", "Scan overlap before claiming eval"], "prompt": "Why must benchmarks/items.jsonl stay out of data/release training JSONL?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-holdout", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Training on the holdout makes evaluation scores meaningless. Open Reason's benchmark command fails if ids overlap.", "strategy": ["Keep disjoint ids", "Scan overlap before claiming eval"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "GET is safe and idempotent in HTTP semantics, so a retry should not create a new resource. POST create is not idempotent unless the API adds keys or uses PUT to a known URL.", "assumptions": [], "concept_id": "cs.http", "constraints": ["Stay at HTTP method semantics."], "context": {}, "difficulty": "introductory", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-http-cache-3c98f51fc65e", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.45, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Timeouts do not tell you whether the server applied the request."], "plan": ["Recall GET safety/idempotence", "Contrast with POST create"], "prompt": "Why can a GET be retried after a timeout more safely than a POST that created a row?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-http-cache", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "GET is safe and idempotent in HTTP semantics, so a retry should not create a new resource. POST create is not idempotent unless the API adds keys or uses PUT to a known URL.", "strategy": ["Recall GET safety/idempotence", "Contrast with POST create"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Each index slows writes and uses space. Columns that match most rows will not use the index anyway. Index predicates you actually filter or join on, after measuring.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Avoid vendor-specific lore as the only point."], "context": {}, "difficulty": "introductory", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-index-selectivity-0b75cba8fbec", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 0.8, "prompt_length": 0.5, "tests": 0.0, "total": 2.3}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Indexes speed some lookups."], "plan": ["Explain write amplification", "Explain low-selectivity scans"], "prompt": "A product manager asks for an index on every column 'to make the database fast'. What do you teach them?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-index-selectivity", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Each index slows writes and uses space. Columns that match most rows will not use the index anyway. Index predicates you actually filter or join on, after measuring.", "strategy": ["Explain write amplification", "Explain low-selectivity scans"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Many decimal amounts cannot be represented exactly, so rounding accumulates. Store integer minor units or a decimal type with a documented scale.", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Do not claim all floats are unusable for science."], "context": {}, "difficulty": "introductory", "domain": "human", "education_level": null, "evidence": null, "id": "or-human-teach-float-money-9962047173fe", "metadata": {"authorship": "human", "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 0.8, "prompt_length": 0.275, "tests": 0.0, "total": 2.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Decimals like 0.1 are not exact in binary floating point."], "plan": ["State representation error", "Name integers or decimal types"], "prompt": "Why should a ledger not store currency as IEEE-754 binary float?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": null, "generator": null, "generator_version": null, "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": "2026-08-19T01:35:16Z", "source": "open-reason authors", "source_id": "teach-float-money", "source_type": "human_authored", "source_url": null, "source_version": null, "transformation": null, "trust_tier": "tier6_human_authored", "unknown_reason": null}, "quality": {"evidence_confidence": 0.381, "notes": ["human-authored teaching"], "score_components": {"authority_score": 0.75, "community_score": 0.0, "cross_source_score": 0.0, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Many decimal amounts cannot be represented exactly, so rounding accumulates. Store integer minor units or a decimal type with a documented scale.", "strategy": ["State representation error", "Name integers or decimal types"], "task_type": "teaching", "temporal": null, "transformation": ["task_generation", "difficulty_assignment", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "b still refers to [1, 2]. Rebinding a does not mutate or rebind b.", "assumptions": [], "concept_id": "python.variables", "constraints": ["Do not treat assignment as always copying."], "context": {"curriculum": true, "language": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-py-variables-explain-99588f5bcde9", "metadata": {"concept_id": "python.variables", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Python names are bindings to objects."], "plan": ["Identify the objects", "Track which names are rebound", "State b's referent"], "prompt": "A learner writes `a = [1, 2]; b = a; a = [3]`. Explain whether `b` changes, using name-binding rather than a box metaphor.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum explanation"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "`a = [1, 2]` binds the name `a` to a list object. `b = a` binds `b` to that same object. `a = [3]` creates a new list and rebinds only `a`. `b` still refers to `[1, 2]`.", "strategy": ["Identify the objects", "Track which names are rebound", "State b's referent"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "[0, 1, 2, 3]", "assumptions": [], "concept_id": "python.loops", "constraints": ["Give the concrete list."], "context": {"curriculum": true, "language": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-py-loops-range-98ee6a184cfe", "metadata": {"concept_id": "python.loops", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["range uses a half-open interval."], "plan": ["Recall range(n)", "List the integers", "Explain the missing endpoint"], "prompt": "What does `list(range(4))` evaluate to, and why is 4 missing?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum exercise"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "range(n) is a half-open interval [0, n). The endpoint n is excluded, matching valid indices of a length-n sequence.", "strategy": ["Recall range(n)", "List the integers", "Explain the missing endpoint"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "The default list is created once at definition time. Use None and create a new list in the body.", "assumptions": [], "concept_id": "python.functions", "constraints": ["Repair must keep the convenient default of an empty list per call."], "context": {"curriculum": true, "language": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-py-functions-default-2055092cdf15", "metadata": {"concept_id": "python.functions", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 3.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["The unexpected sharing happens across calls with no explicit bucket."], "plan": ["Identify the shared object", "Explain definition-time evaluation", "State the None pattern"], "prompt": "A function is defined as `def collect(item, bucket=[]): bucket.append(item); return bucket`. A second call with a new item returns a list containing both items. Diagnose the defect and describe the standard repair.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum debugging"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Default argument objects are evaluated once. The same list is reused and mutated. Write `def collect(item, bucket=None):` and `if bucket is None: bucket = []`.", "strategy": ["Identify the shared object", "Explain definition-time evaluation", "State the None pattern"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "Collisions concentrate keys in one bucket, so lookup walks a chain. Mitigations include randomized hash seeds and treeified buckets.", "assumptions": [], "concept_id": "cs.data_structures", "constraints": ["Stay at data-structure behaviour, not a CVE writeup."], "context": {"curriculum": true, "language": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-cs-hashtable-d9fc5ab3b55d", "metadata": {"concept_id": "cs.data_structures", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 3.1500000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Average-case bounds hide adversarial or highly skewed keys."], "plan": ["State the average-case assumption", "Describe collision chains", "Name a mitigation"], "prompt": "Why can a hash table that is O(1) average-case become linear in a single lookup, and name one mitigation used in production runtimes?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum application"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Average-case O(1) assumes a bounded load factor and well-spread hashes. If many keys collide, a bucket degrades to a list (or similar) and that lookup is O(n). CPython randomizes hash seeds and treeifies large colliding dict buckets.", "strategy": ["State the average-case assumption", "Describe collision chains", "Name a mitigation"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "14", "assumptions": [], "concept_id": "math.arithmetic", "constraints": ["Do not insert extra parentheses that change meaning."], "context": {"concept_id": "math.arithmetic", "curriculum": true}, "difficulty": "beginner", "domain": "mathematics", "education_level": "k5", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-edu-math-precedence-349c54d7045a", "metadata": {"concept_id": "math.arithmetic", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.95}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Multiplication precedes addition."], "plan": ["Apply precedence", "Compute the product", "Add"], "prompt": "Evaluate 2 + 3 * 4 using standard arithmetic precedence.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Multiplication binds first: 3 * 4 = 12, then 2 + 12 = 14.", "strategy": ["Apply precedence", "Compute the product", "Add"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 14.0, "got": 14.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "14.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-3", "assumptions": [], "concept_id": "math.algebra", "constraints": ["Give the exact integer solution."], "context": {"concept_id": "math.algebra", "curriculum": true}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["sympy"]}, "id": "or-mathematics-edu-math-linear-90453d7d324e", "metadata": {"concept_id": "math.algebra", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.9000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["The equation is linear."], "plan": ["Isolate x", "Simplify", "Check by substitution"], "prompt": "Solve for x: x + 5 = 2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Subtract 5 from both sides: x = 2 - 5 = -3.", "strategy": ["Isolate x", "Simplify", "Check by substitution"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "-3", "got": "-3"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "-3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": "math.calculus", "constraints": ["Use radians."], "context": {"concept_id": "math.calculus", "curriculum": true}, "difficulty": "beginner", "domain": "mathematics", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["sympy"]}, "id": "or-mathematics-edu-math-limit-sinc-8d03a3aaf493", "metadata": {"concept_id": "math.calculus", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.6, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["f(0) is undefined.", "Nearby values approach 1."], "plan": ["Recognize the indeterminate form", "Recall or compute the standard limit", "State 1"], "prompt": "Compute lim_{x -> 0} (sin x)/x. Direct substitution is undefined; still give the limit.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "The two-sided limit is 1. A 0/0 form at a point does not by itself imply the limit is missing.", "strategy": ["Recognize the indeterminate form", "Recall or compute the standard limit", "State 1"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1", "got": "1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "It must be testable and potentially falsifiable by observation or experiment.", "assumptions": [], "concept_id": "science.method", "constraints": ["Do not claim experiments prove hypotheses in the mathematical sense."], "context": {"concept_id": "science.method", "curriculum": true}, "difficulty": "intermediate", "domain": "science", "education_level": "middle_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-edu-sci-method-98698d9c1878", "metadata": {"concept_id": "science.method", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 2.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 4.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Slogans that cannot be tested are not scientific hypotheses."], "plan": ["Define testability", "Mention falsifiability", "Mention controls"], "prompt": "What makes a scientific hypothesis different from an untestable slogan?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum science"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "A hypothesis is a claim that could fail a well-designed test. Experiments can disconfirm it; they do not provide mathematical proof. Controls and replication matter.", "strategy": ["Define testability", "Mention falsifiability", "Mention controls"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "4", "assumptions": [], "concept_id": "science.newton", "constraints": ["Assume a particle model and constant mass."], "context": {"concept_id": "science.newton", "curriculum": true}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-edu-sci-newton-0cc784d721a7", "metadata": {"concept_id": "science.newton", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 3.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Net force and mass are given in SI units."], "plan": ["Write a = F/m", "Substitute", "Report 4"], "prompt": "A net force of 12 N acts on a 3 kg mass. What is the acceleration magnitude in m/s^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Newton's second law: a = F/m = 12/3 = 4 m/s^2.", "strategy": ["Write a = F/m", "Substitute", "Report 4"], "task_type": "numerical", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "b is [1, 2, 3] because a and b referred to the same list. append mutated that object; it did not rebind b.", "assumptions": [], "concept_id": "python.variables", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "python.variables.box_model"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-python-variables-box-model-ba2d30482d06", "metadata": {"concept_id": "python.variables", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.5500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A variable is a box that stores a copy of an object forever."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "After a = [1, 2]; b = a; a.append(3), what is b and why?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: A variable is a box that stores a copy of an object forever. Why it is wrong: In Python a name is a binding to an object. Assignment rebinds the name; mutable objects can still change through other names. Correct: Names refer to objects. Assignment of one name to another makes both names refer to the same object. Rebinding one name later does not rebind the other.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "Assignment cannot appear in that expression position; comparison uses two equals signs.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "python.conditionals.assignment_as_test"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-python-conditionals-assignment-as-test-181475a311e3", "metadata": {"concept_id": "python.conditionals", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["if x = 0 is a valid test that checks whether x equals zero."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "Why does if n = 1: fail to parse in Python?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: if x = 0 is a valid test that checks whether x equals zero. Why it is wrong: In Python a single equals sign is assignment. Equality is written with two equals signs. The assignment form is a SyntaxError. Correct: Use a comparison, not assignment, in a conditional test.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "[0, 1, 2]", "assumptions": [], "concept_id": "python.loops", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "python.loops.off_by_one"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-python-loops-off-by-one-eafbb555fc1e", "metadata": {"concept_id": "python.loops", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.125, "tests": 0.0, "total": 2.95}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["range(n) yields n, so a loop over range(len(xs)) includes the last index twice."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "What values does list(range(3)) produce?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: range(n) yields n, so a loop over range(len(xs)) includes the last index twice. Why it is wrong: range(n) yields 0 through n-1, which is exactly the valid indices of a length-n sequence. Correct: Half-open intervals [0, n) match zero-based indexing. The last index is n - 1.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "The same default list is mutated across calls because it is created once at definition time.", "assumptions": [], "concept_id": "python.functions", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "python.functions.mutable_default"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-python-functions-mutable-default-af24690d239f", "metadata": {"concept_id": "python.functions", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A default argument list is created fresh on every call."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "Why can a function with a default empty list return [1, 1] on a second call that appends 1?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: A default argument list is created fresh on every call. Why it is wrong: Default argument objects are created once, when the function is defined, and reused. Correct: Use None as the default and create a new list inside the function body.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "[[0, 1]] because the inner list was shared.", "assumptions": [], "concept_id": "python.collections", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "python.collections.aliasing"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-python-collections-aliasing-9c337838e3fc", "metadata": {"concept_id": "python.collections", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.725}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Slicing a list always deep-copies nested objects."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "After a = [[0]]; b = a[:]; b[0].append(1), what is a?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: Slicing a list always deep-copies nested objects. Why it is wrong: A slice copies the top-level list only. Nested mutables remain shared. Correct: A slice is a shallow copy. Nested lists still alias unless copied recursively.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "14", "assumptions": [], "concept_id": "math.arithmetic", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "misconception_id": "math.arithmetic.order_of_operations"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "k5", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-edu-misc-math-arithmetic-order-of-operations-ec9e0f81ae69", "metadata": {"concept_id": "math.arithmetic", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.875, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.15, "tests": 0.0, "total": 3.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Addition is always done before multiplication, left to right."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "Evaluate 2 + 3 * 4.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: Addition is always done before multiplication, left to right. Why it is wrong: Multiplication and division bind more tightly than addition and subtraction. Correct: Evaluate 2 + 3 * 4 as 2 + 12 = 14, not (2 + 3) * 4.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "-3", "assumptions": [], "concept_id": "math.algebra", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "misconception_id": "math.algebra.sign_error"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-edu-misc-math-algebra-sign-error-61cdc543f4bc", "metadata": {"concept_id": "math.algebra", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.15, "tests": 0.0, "total": 2.725}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Moving a term across an equals sign never changes its sign."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "Solve x + 5 = 2.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: Moving a term across an equals sign never changes its sign. Why it is wrong: Adding the additive inverse is required; the sign of the moved term flips. Correct: From x + 3 = 7, subtract 3 from both sides to get x = 4.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "No. The two-sided limit is 1 even though direct substitution is undefined.", "assumptions": [], "concept_id": "math.calculus", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "misconception_id": "math.calculus.limit_substitution"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-edu-misc-math-calculus-limit-substitution-cf1f5021017c", "metadata": {"concept_id": "math.calculus", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 3.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["If substituting x=a into f(x) is undefined, the limit cannot exist."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "Does lim x->0 of (sin x)/x fail to exist because the expression is 0/0 at 0?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: If substituting x=a into f(x) is undefined, the limit cannot exist. Why it is wrong: A limit describes nearby values. A hole or removable discontinuity can still have a finite limit. Correct: Algebraic simplification or a two-sided check can show the limit exists even if f(a) is undefined.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "It must be testable and potentially falsifiable by observation or experiment.", "assumptions": [], "concept_id": "science.method", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "misconception_id": "science.method.hypothesis_is_guess"}, "difficulty": "beginner", "domain": "science", "education_level": "middle_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-edu-misc-science-method-hypothesis-is-guess-7abdf30d3671", "metadata": {"concept_id": "science.method", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A hypothesis is an uneducated guess and experiments exist to prove it true."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "What would make a hypothesis scientific rather than a slogan?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: A hypothesis is an uneducated guess and experiments exist to prove it true. Why it is wrong: A hypothesis is a testable claim. Experiments can falsify it; they do not prove it in the mathematical sense. Correct: Design a test that could fail, collect data, and update confidence. Replication and controls matter.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "It swallows unexpected errors and control-flow exceptions; catch a specific type instead.", "assumptions": [], "concept_id": "python.exceptions", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "python.exceptions.bare_except"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-python-exceptions-bare-except-2d8d59efadb6", "metadata": {"concept_id": "python.exceptions", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.5500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["except: is the safest way to keep a program running."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "Why is a bare except: considered harmful in Python?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: except: is the safest way to keep a program running. Why it is wrong: A bare except catches SystemExit and KeyboardInterrupt and hides unexpected bugs. Correct: Catch the specific exception you can handle. Let the rest propagate.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "Theta(n^2) if work() is constant time.", "assumptions": [], "concept_id": "cs.complexity", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "cs.complexity.nested_loops"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-cs-complexity-nested-loops-8bfc01f877ea", "metadata": {"concept_id": "cs.complexity", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Two nested loops over n items are always O(n) because each loop is simple."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "What is the time complexity of for i in range(n): for j in range(n): work()?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: Two nested loops over n items are always O(n) because each loop is simple. Why it is wrong: Each of n outer iterations does n inner iterations, which is Theta(n^2) work. Correct: Multiply independent nested iteration counts unless the inner bound shrinks.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "It builds a list of None values as a side effect of printing. A for-loop states the intent.", "assumptions": [], "concept_id": "python.comprehensions", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "python.comprehensions.side_effect"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-python-comprehensions-side-effect-f67341403be4", "metadata": {"concept_id": "python.comprehensions", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A list comprehension is the right place to call functions for their side effects."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "Why is `[print(x) for x in xs]` a poor pattern?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: A list comprehension is the right place to call functions for their side effects. Why it is wrong: Comprehensions exist to build a collection. Side-effecting inside them hides control flow and still allocates a list. Correct: Use a for-loop for actions. Use a comprehension when you need the resulting sequence.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "It is 'inner', not the original function name.", "assumptions": [], "concept_id": "python.decorators", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "python.decorators.wrapper"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-python-decorators-wrapper-a0a04812a609", "metadata": {"concept_id": "python.decorators", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A decorator that returns an inner function automatically copies the original function's name and docstring."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "After decorating without wraps, what is f.__name__ if the wrapper is named inner?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: A decorator that returns an inner function automatically copies the original function's name and docstring. Why it is wrong: The inner function has its own __name__ and __doc__ unless you apply functools.wraps. Correct: functools.wraps(func) updates the wrapper's metadata so tools and tests still see the original identity.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "No. CPython will return 'a' unless you add a runtime check.", "assumptions": [], "concept_id": "python.typing", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "python.typing.runtime"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-python-typing-runtime-9d71f8e1c0bb", "metadata": {"concept_id": "python.typing", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["A type hint like `def f(x: int)` makes Python reject a str argument at runtime."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "Does `def f(x: int) -> int: return x` raise TypeError on f('a')?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: A type hint like `def f(x: int)` makes Python reject a str argument at runtime. Why it is wrong: Annotations are not enforced by CPython. They are metadata for checkers and readers. Correct: Use a type checker (or an explicit isinstance guard) if you need a runtime check.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "BFS lists all leaves at distance 1 before going deeper; DFS may fully explore one spoke before another.", "assumptions": [], "concept_id": "cs.graphs", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "cs.graphs.bfs_dfs"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-cs-graphs-bfs-dfs-10afe1c4e3d7", "metadata": {"concept_id": "cs.graphs", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["BFS and DFS always visit nodes in the same order on an undirected graph."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "On a star graph, why does BFS from the center differ from DFS?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: BFS and DFS always visit nodes in the same order on an undirected graph. Why it is wrong: BFS explores by distance from the start. DFS dives along one path first. Orders differ unless the graph is a path. Correct: Choose BFS for unweighted shortest paths. Choose DFS for connectivity, finishing times, or cycle checks.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "The mean is 26.5, dominated by 100. The median is 2.5 and describes the typical small values.", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "misconception_id": "math.statistics.mean_median"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-edu-misc-math-statistics-mean-median-41bd373c3733", "metadata": {"concept_id": "math.statistics", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["The mean is always the best one-number summary of a numeric list."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "For values 1, 2, 3, 100, why might you prefer the median?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: The mean is always the best one-number summary of a numeric list. Why it is wrong: A single extreme value can drag the mean. The median is resistant to that skew. Correct: Report mean when the distribution is roughly symmetric; report median (and maybe IQR) when outliers matter.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "Not net heat, once they are in thermal equilibrium. Heat flow requires a temperature difference.", "assumptions": [], "concept_id": "science.thermo", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "misconception_id": "science.thermo.heat_vs_temp"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-edu-misc-science-thermo-heat-vs-temp-a74b6805e19e", "metadata": {"concept_id": "science.thermo", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Heat and temperature are two names for the same quantity."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "Can two objects at the same temperature exchange heat?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: Heat and temperature are two names for the same quantity. Why it is wrong: Temperature is an intensive state variable. Heat is energy transferred because of a temperature difference. Correct: A large lake and a cup of tea can share a temperature while storing very different amounts of thermal energy.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "It receives 3 asynchronously and yields 4. The original work is not rerun.", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "javascript.promises.then"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-javascript-promises-then-84241e5e4d38", "metadata": {"concept_id": "javascript.promises", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 3.1}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Calling .then on a Promise starts the async work a second time."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "If a Promise is already fulfilled with 3, what does a later .then(x => x+1) receive?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: Calling .then on a Promise starts the async work a second time. Why it is wrong: A Promise represents one eventual result. Additional then-handlers observe that same settlement. Correct: The executor runs once. later .then calls receive the already-resolved or already-rejected value.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "The predicate is on created_at. An email index does not order or filter that column.", "assumptions": [], "concept_id": "sql.indexes", "constraints": ["Correct the misconception; do not invent a new error."], "context": {"curriculum": true, "language": "python", "misconception_id": "sql.indexes.where"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-edu-misc-sql-indexes-where-a1ab4d394ec2", "metadata": {"concept_id": "sql.indexes", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["An index on column a also speeds WHERE b = 1 even if a is never mentioned."], "plan": ["Name the false belief", "Explain the mechanism", "State the correction"], "prompt": "Why might CREATE INDEX on users.email not help WHERE users.created_at > '2024-01-01'?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["documented learner difficulty"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Misconception: An index on column a also speeds WHERE b = 1 even if a is never mentioned. Why it is wrong: A B-tree on a cannot locate rows by b. The planner still needs a scan unless another index matches the predicate. Correct: Index usefulness depends on matching predicates, join keys, and selectivity—not on 'having some index'.", "strategy": ["Name the false belief", "Explain the mechanism", "State the correction"], "task_type": "diagnostic_misconception", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "unverified"], "translation_status": "original", "verification": null}
{"answer": "8", "assumptions": [], "concept_id": "math.arithmetic", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "math.arithmetic", "curriculum": true}, "difficulty": "beginner", "domain": "mathematics", "education_level": "k5", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-edu-v101-sub-17f869011448", "metadata": {"concept_id": "math.arithmetic", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.125, "tests": 0.0, "total": 2.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "What is 17 - 9?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "17-9=8.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 8.0, "got": 8.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "8.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "42", "assumptions": [], "concept_id": "math.arithmetic", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "math.arithmetic", "curriculum": true}, "difficulty": "introductory", "domain": "mathematics", "education_level": "k5", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-edu-v101-mul-d8a7e7d0f47a", "metadata": {"concept_id": "math.arithmetic", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.125, "tests": 0.0, "total": 2.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "What is 6 × 7?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "6*7=42.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 42.0, "got": 42.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "42.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "math.algebra", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "math.algebra", "curriculum": true}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["sympy"]}, "id": "or-mathematics-edu-v101-lin-37f753c4e48f", "metadata": {"concept_id": "math.algebra", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.5500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "Solve 3x - 6 = 9. What is x?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "3x=15, x=5.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5", "got": "5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "40", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "math.geometry", "curriculum": true}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-edu-v101-rect-7a3dab6b0007", "metadata": {"concept_id": "math.geometry", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "A rectangle is 5 by 8. What is the area?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "A=lw=40.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 40.0, "got": 40.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "40.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1/6", "assumptions": [], "concept_id": "math.probability", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "math.probability", "curriculum": true}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-edu-v101-die-dce850019527", "metadata": {"concept_id": "math.probability", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 3.0500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "A fair six-sided die. P(rolling a 5) as a reduced fraction a/b. Report a/b.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "One favorable face of six.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.16666666666666666, "got": 0.16666666666666666}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.16666666666666666", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "math.statistics", "curriculum": true}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-edu-v101-mean-d9e91e8e5332", "metadata": {"concept_id": "math.statistics", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.15, "tests": 0.0, "total": 2.85}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "Mean of 2, 4, 6, 8?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "(2+4+6+8)/4=5.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0, "got": 5.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "5", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "science.circuits", "curriculum": true}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-edu-v101-par-53f824f6ecf8", "metadata": {"concept_id": "science.circuits", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.95}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "Two 10 ohm resistors in parallel. Equivalent resistance in ohms?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/R=1/10+1/10; R=5.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "numerical", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0, "got": 5.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
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{"answer": "1", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "math.number_theory", "curriculum": true}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-edu-v101-mod-9d8370bceb51", "metadata": {"concept_id": "math.number_theory", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.125, "tests": 0.0, "total": 2.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "What is 29 mod 7?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "28+1.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 1.0, "got": 1.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "1.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.25", "assumptions": [], "concept_id": "science.genetics", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "science.genetics", "curriculum": true}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-edu-v101-aa-36fa8d049232", "metadata": {"concept_id": "science.genetics", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.6500000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "Aa × Aa, P(aa) as a decimal 0.25 or fraction 1/4. Report 0.25.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "One of four Punnett cells.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "numerical", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.25, "got": 0.25}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "16", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "math.sequences", "curriculum": true}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-edu-v101-arith5-ad0bca07b3c0", "metadata": {"concept_id": "math.sequences", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "Arithmetic sequence 4, 7, 10. What is the 5th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "a_n=4+3(n-1); n=5 gives 16.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 16.0, "got": 16.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "16.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "-2", "assumptions": [], "concept_id": "science.optics", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "science.optics", "curriculum": true}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-edu-v101-mag-35707575f97e", "metadata": {"concept_id": "science.optics", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 3.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "Magnification m=-v/u with v=10, u=5 (same units). What is m?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "m=-10/5=-2.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "numerical", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": -2.0, "got": -2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "-2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": [], "concept_id": "science.thermo", "constraints": ["Exact value as specified"], "context": {"checkable": true, "concept_id": "science.thermo", "curriculum": true}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-edu-v101-dt-fd82cbd644fd", "metadata": {"concept_id": "science.thermo", "curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.3, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8"}, "natural_language": "en", "observations": ["Independently checked education item"], "plan": ["Apply the definition", "Compute", "Record the number"], "prompt": "Convert 10 °C of temperature change to kelvin difference.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.education", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.education", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "curriculum_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ΔT in K equals ΔT in °C.", "strategy": ["Apply the definition", "Compute", "Record the number"], "task_type": "numerical", "temporal": null, "transformation": ["source", "concept_extraction", "knowledge_normalization", "task_generation", "difficulty_assignment", "verification"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 10.0, "got": 10.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "10.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Multiplication binds more tightly than addition, matching ordinary arithmetic.", "assumptions": [], "concept_id": "python.expressions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.expressions"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cov-python-expressions-concept-explanation-0-720744fa6e6c", "metadata": {"concept_id": "python.expressions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 3.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does `3 + 2 * 4` evaluate to 11 in Python rather than 20?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "* and / are tighter than + and -. Parentheses override. 2*4=8, then 3+8=11.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 11.0, "got": 11.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "11.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "512; exponentiation associates to the right, so 2**(3**2).", "assumptions": [], "concept_id": "python.expressions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.expressions"}, "difficulty": "intermediate", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cov-python-expressions-simple-exercise-1-483f05c1fa43", "metadata": {"concept_id": "python.expressions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 2.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 4.725}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is the value of `2 ** 3 ** 2` in Python, and which way does `**` associate?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "3**2 is 9, then 2**9 is 512. Left-associative would have been (2**3)**2 = 64.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 512.0, "got": 512.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "512.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "`if x:` tests truthiness. `if x is True:` tests identity with the boolean True.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.conditionals"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-conditionals-concept-explanation-2-603f7ae47ef2", "metadata": {"concept_id": "python.conditionals", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is the difference between `if x:` and `if x is True:` when x might be 1 or []?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "1 is truthy but is not True. [] is falsy. Use `is True` only when you mean the boolean singleton.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Single `=` is assignment and is a SyntaxError there. Use `if n == 0:`.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.conditionals"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-conditionals-debugging-exercise-3-6ac689e0dece", "metadata": {"concept_id": "python.conditionals", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A script uses `if n = 0:` to test a counter. Why does it fail, and what should it be?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Comparisons use ==. Assignment is a statement, not a boolean test, in that position.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The instance is passed implicitly on the call; `self` names that instance inside the method.", "assumptions": [], "concept_id": "python.classes", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.classes"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-classes-concept-explanation-4-e7f8328a5237", "metadata": {"concept_id": "python.classes", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does `self` appear as the first parameter of an instance method?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "obj.method(x) is type(obj).method(obj, x). The first parameter is the instance, by convention named self.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Both see the append unless the instance rebound the name to a new object.", "assumptions": [], "concept_id": "python.classes", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.classes"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-classes-applied-exercise-5-f1791abfaed8", "metadata": {"concept_id": "python.classes", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What happens if two instances share a class variable list and one appends to it?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Class attributes are shared. Mutable class attributes alias across instances. Use instance attributes created in __init__ for per-object state.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Raise when the caller passed something illegal and must notice. Return None only if absence is a normal outcome.", "assumptions": [], "concept_id": "python.exceptions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.exceptions"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-exceptions-concept-explanation-6-f792ee51986e", "metadata": {"concept_id": "python.exceptions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.125}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "When should a function raise ValueError versus returning None?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Exceptions make the failure path visible. Silent None hides bugs at the next dereference.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It hides bugs and can swallow KeyboardInterrupt subclasses of Exception in some paths. Catch the specific parse error, log, and re-raise unexpected types.", "assumptions": [], "concept_id": "python.exceptions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.exceptions"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-exceptions-debugging-exercise-7-5ab6c38bf6a6", "metadata": {"concept_id": "python.exceptions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A parser wraps a whole file in `except Exception: pass`. Name two harms and a tighter pattern.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Prefer `except json.JSONDecodeError`. Never use a bare except. Avoid swallowing Exception at process boundaries without logging.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Import sets __name__ to the module name, so the guard skips CLI side effects. Direct execution sets it to '__main__'.", "assumptions": [], "concept_id": "python.modules", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.modules"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-modules-concept-explanation-8-dfec1bc21253", "metadata": {"concept_id": "python.modules", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.1500000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does `if __name__ == '__main__':` guard a script's CLI?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Libraries should be importable without launching the program. The guard separates library functions from the entry point.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "A list is an iterable that mints a fresh iterator. A generator is the iterator and is exhausted.", "assumptions": [], "concept_id": "python.iterators", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.iterators"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-iterators-concept-explanation-9-068c591c9454", "metadata": {"concept_id": "python.iterators", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why can you iterate a list twice but not consume a generator twice?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "iter(list) starts over. A generator's next() advances hidden state until StopIteration.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "An assertion fails the test automatically when the condition is false; a print requires a human to notice.", "assumptions": [], "concept_id": "python.testing", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.testing"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-testing-concept-explanation-10-edef03629078", "metadata": {"concept_id": "python.testing", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What makes an assertion in a unit test different from a print of the result?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Tests must be machine-checkable. assertEqual documents the expected value and fails closed.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Later tests see leftover state (order dependence). Isolate fixtures: copy, use setUp/tearDown, or construct fresh objects per test.", "assumptions": [], "concept_id": "python.testing", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.testing"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-testing-applied-exercise-11-c1e0c2ff17b5", "metadata": {"concept_id": "python.testing", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 2.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A test mutates a shared module-level list in setUp and never restores it. What goes wrong, and how do you fix it?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Shared mutable fixtures create flakes. Each test should own its data.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The algorithm discards a half based on order. Without sorted order those discards are unjustified.", "assumptions": [], "concept_id": "cs.algorithms", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.algorithms"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-algorithms-concept-explanation-12-364cf6755a37", "metadata": {"concept_id": "cs.algorithms", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is binary search incorrect on an unsorted array even if it sometimes finds the key?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Correctness of binary search is a loop invariant on a sorted range, not a lucky hit.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Theta(n^2)", "assumptions": [], "concept_id": "cs.complexity", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.complexity"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-complexity-simple-exercise-13-a3ca58418677", "metadata": {"concept_id": "cs.complexity", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.975}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A nested loop runs i from 1..n and j from 1..i. What is Theta of the inner-body executions?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Sum_{i=1..n} i = n(n+1)/2 which is Theta(n^2).", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Big-O is an upper bound. A quadratic function is also O(n^3).", "assumptions": [], "concept_id": "cs.complexity", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.complexity"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-complexity-concept-explanation-14-0358e345b340", "metadata": {"concept_id": "cs.complexity", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 3.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is O(n^2) not a contradiction of O(n^3) for the same function?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "f(n)=n^2 is O(n^2) and O(n^3). Theta(n^2) is the tight characterization.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It recurses until the call stack overflows (or hits the recursion limit).", "assumptions": [], "concept_id": "cs.recursion", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.recursion"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-recursion-debugging-exercise-15-b07c3e3c38da", "metadata": {"concept_id": "cs.recursion", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A factorial function calls factorial(n) without a base case for n==0. What happens for factorial(3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Every recursive definition needs a base case that returns without another call. 0! is 1.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It recomputes the same subproblems in two branches, forming an exponential call tree.", "assumptions": [], "concept_id": "cs.recursion", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.recursion"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-recursion-concept-explanation-16-116532dbc4f4", "metadata": {"concept_id": "cs.recursion", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why can a naive recursive Fibonacci be exponential time?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "T(n)=T(n-1)+T(n-2)+O(1) is Theta(phi^n). Memoization or iteration makes it linear.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "INNER JOIN requires a match in both tables. LEFT JOIN keeps all left rows and nulls the right side when unmatched.", "assumptions": [], "concept_id": "cs.sql", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "sql", "topic": "cs.sql"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-sql-concept-explanation-17-bf1a90b7c266", "metadata": {"concept_id": "cs.sql", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does INNER JOIN drop customers with no orders while LEFT JOIN can keep them?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Choose INNER when you only want matches. Choose LEFT when absence is information.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "name is not functionally determined by dept, so SQL rejects an ungrouped non-aggregated column.", "assumptions": [], "concept_id": "cs.sql", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "sql", "topic": "cs.sql"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-sql-simple-exercise-18-970825311b9b", "metadata": {"concept_id": "cs.sql", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "In `SELECT dept, COUNT(*) FROM emp GROUP BY dept`, why is `SELECT name` illegal without aggregation or grouping name?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "GROUP BY dept yields one row per department. A per-employee column is not defined on that row.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "401 means unauthenticated (missing/bad credentials). 403 means authenticated but not allowed.", "assumptions": [], "concept_id": "cs.http", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.http"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-http-concept-explanation-19-5435f00bedc7", "metadata": {"concept_id": "cs.http", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is the difference between HTTP 401 and 403?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "401 invites supplying credentials. 403 says this principal may not access the resource.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Revert adds a new commit that undoes a change. Hard reset moves history others still have.", "assumptions": [], "concept_id": "cs.git", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.git"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-git-concept-explanation-20-1e7bd5cd72ab", "metadata": {"concept_id": "cs.git", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is `git revert` safer than `git reset --hard` on a branch others already pulled?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Shared branches should grow with new commits, not rewrite published history.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "A closure retains the lexical environment where it was created, not a snapshot of the caller's stack frame after return.", "assumptions": [], "concept_id": "javascript.closures", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "javascript", "topic": "javascript.closures"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-javascript-closures-concept-explanation-21-80a9ca37c82a", "metadata": {"concept_id": "javascript.closures", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "In JavaScript, why does a function returned from another function still see the outer variable?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The inner function closes over bindings. Those bindings live as long as the function value is reachable.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "`var` is function-scoped so all callbacks share one i, which is 3 after the loop. Use let, or bind i in a factory.", "assumptions": [], "concept_id": "javascript.closures", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "javascript", "topic": "javascript.closures"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-javascript-closures-debugging-exercise-22-216fe6116625", "metadata": {"concept_id": "javascript.closures", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.725}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A loop `for (var i=0;i<3;i++){ setTimeout(()=>console.log(i),0) }` prints 3 three times. Why, and how do you log 0,1,2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "let creates a fresh binding per iteration. var does not.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Ownership transferred. Using the old name would be a use-after-move, which Rust rejects.", "assumptions": [], "concept_id": "rust.ownership", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "rust", "topic": "rust.ownership"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-rust-ownership-concept-explanation-23-e3363616fcba", "metadata": {"concept_id": "rust.ownership", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does moving a String into a function make the original binding unusable afterward?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Each value has one owner. Move ends the previous owner's access unless the type is Copy.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Close means no more sends; further sends are programmer errors. Receives drain then produce zero values so range can stop.", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "go", "topic": "go.concurrency"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-go-concurrency-concept-explanation-24-cde37a4b99a0", "metadata": {"concept_id": "go.concurrency", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is sending on a closed Go channel a panic while receiving after close yields zeros?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Only the sender should close. Use the two-value receive to detect closure.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "A function assigns one output per input. A vertical line gives many y for one x.", "assumptions": [], "concept_id": "math.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.functions"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-functions-concept-explanation-25-7c95cbb744fb", "metadata": {"concept_id": "math.functions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is a vertical line not the graph of a function y=f(x)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The vertical-line test is the unique-output rule in the plane.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "5", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.geometry"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-geometry-simple-exercise-26-591514afce5d", "metadata": {"concept_id": "math.geometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A right triangle has legs 3 and 4. What is the hypotenuse?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Pythagoras: sqrt(9+16)=sqrt(25)=5.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0, "got": 5.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "100*pi", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["sympy"]}, "id": "or-mathematics-cov-math-geometry-applied-exercise-27-4cd6ef399959", "metadata": {"concept_id": "math.geometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A circle has radius 10. What is its area in terms of pi?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "A=pi r^2 = pi*100.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "100*pi", "got": "100*pi"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "100*pi", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1", "assumptions": [], "concept_id": "math.trigonometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.trigonometry"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["sympy"]}, "id": "or-mathematics-cov-math-trigonometry-simple-exercise-28-258657581b47", "metadata": {"concept_id": "math.trigonometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.125, "tests": 0.0, "total": 2.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is sin(pi/2) in radians?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "pi/2 radians is 90 degrees; sine of a right angle is 1.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "1", "got": "1"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "1", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": [], "concept_id": "math.discrete", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.discrete"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-discrete-simple-exercise-29-5a18b5f15cfb", "metadata": {"concept_id": "math.discrete", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "How many 3-element subsets does a 5-element set have?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "C(5,3)=10.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 10.0, "got": 10.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "10.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1/2", "assumptions": [], "concept_id": "math.probability", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-probability-simple-exercise-30-439280395752", "metadata": {"concept_id": "math.probability", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.5500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A fair coin is flipped twice. What is P(exactly one head)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Outcomes HH,HT,TH,TT equally likely. Exactly one head: HT, TH. 2/4=1/2.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.5, "got": 0.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-linear-algebra-simple-exercise-31-05a4b638b8ed", "metadata": {"concept_id": "math.linear_algebra", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is the determinant of the 2x2 matrix [[2, 0], [0, 3]]?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "ad-bc = 2*3-0*0=6.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 6.0, "got": 6.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "6.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-number-theory-simple-exercise-32-4ed43c1812b1", "metadata": {"concept_id": "math.number_theory", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.125, "tests": 0.0, "total": 2.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is 17 mod 5?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "17=3*5+2.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0, "got": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "9", "assumptions": [], "concept_id": "science.energy", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.energy"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-energy-simple-exercise-33-c3a447326d55", "metadata": {"concept_id": "science.energy", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.9000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A 2 kg mass moves at 3 m/s. What is its kinetic energy in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE=1/2 m v^2 = 0.5*2*9=9 J.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 9.0, "got": 9.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "9.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.circuits"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-circuits-simple-exercise-34-aaed51e4176e", "metadata": {"concept_id": "science.circuits", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.5500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A 12 V battery drives 3 A through a resistor. What is the resistance in ohms?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "V=IR so R=V/I=12/3=4 ohm.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": "science.stoichiometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.stoichiometry"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-stoichiometry-simple-exercise-35-4c8539718d2e", "metadata": {"concept_id": "science.stoichiometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Water is H2O. How many moles of hydrogen atoms are in 2 moles of water?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Each water molecule has 2 H atoms, so 2 mol water contains 4 mol H atoms.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "science.waves", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.waves"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-waves-simple-exercise-36-f6211fa0595a", "metadata": {"concept_id": "science.waves", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A wave has speed 10 m/s and frequency 5 Hz. What is the wavelength in meters?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "v=f lambda so lambda=v/f=10/5=2 m.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0, "got": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Without untreated plants you cannot separate fertilizer from other growth factors.", "assumptions": [], "concept_id": "science.method", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.method"}, "difficulty": "introductory", "domain": "science", "education_level": "middle_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-method-applied-exercise-37-b03af3b2a30a", "metadata": {"concept_id": "science.method", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is a control group needed when testing whether a fertilizer increases plant height?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "A control holds other variables and shows the baseline. The difference is the evidence, not the treated height alone.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Lists are mutable and unhashable. Use a tuple of immutables, or freeze the data.", "assumptions": [], "concept_id": "python.collections", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.collections"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-collections-concept-explanation-38-19798dadcce1", "metadata": {"concept_id": "python.collections", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is a list a poor choice as a dict key, and what should you use instead?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Hash tables require a stable hash. Mutating a key would lose the bucket.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Indexing is extra machinery and off-by-one prone. Iterating values states the intent.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.loops"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-loops-applied-exercise-39-691be258965a", "metadata": {"concept_id": "python.loops", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is `for i in range(len(xs)):` often worse than `for x in xs:` when you only need values?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use enumerate if you need index and value. Direct iteration is the default.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Namespace packages allow import without __init__.py. It fails if another pack on sys.path is a regular package that hides the namespace, or if the directory is not on sys.path.", "assumptions": [], "concept_id": "python.modules", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.modules"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-modules-debugging-exercise-40-c96cffb466cd", "metadata": {"concept_id": "python.modules", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 2.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A package directory has foo.py but no __init__.py on Python 3.3+. Why can `import pack.foo` still work, and when would it fail?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "PEP 420 namespace packages. Explicit __init__.py still makes a regular package. Path order decides which pack wins.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "No. The iterator was exhausted by the first list() call. A second pass needs a new iterator.", "assumptions": [], "concept_id": "python.iterators", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.iterators"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-iterators-debugging-exercise-41-851dd944174b", "metadata": {"concept_id": "python.iterators", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Code does `it = iter(xs); list(it); list(it)` and the second list is empty. Is that a bug in list()?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "list(it) consumes it. Call iter(xs) again, or keep the original sequence.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Full sort is Theta(n log n). A bounded heap is O(n log k), which is smaller when k << n.", "assumptions": [], "concept_id": "cs.algorithms", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-algorithms-applied-exercise-42-0a9cc34a4491", "metadata": {"concept_id": "cs.algorithms", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "You need the k smallest elements of n numbers, k much smaller than n. Why is a size-k heap often better than fully sorting?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Each of n insertions/evictions costs O(log k) on a heap of size k. Sorting pays for order you will discard.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The first POST may have succeeded, so a retry can create a duplicate. Idempotent methods or client-generated idempotency keys make retries safe.", "assumptions": [], "concept_id": "cs.http", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.http"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-http-applied-exercise-43-11ccd7e4959c", "metadata": {"concept_id": "cs.http", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.675, "tests": 0.0, "total": 2.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A client retries a POST that created a resource after a timeout with no response. What can go wrong, and what property would make the retry safe?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Timeouts are not failures. POST is not idempotent by default. PUT to a known URL or an Idempotency-Key header addresses duplicate creates.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Git only sees overlapping text hunks. It cannot tell which behaviour is intended. A human must combine or choose the correct function body and test it.", "assumptions": [], "concept_id": "cs.git", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.git"}, "difficulty": "intermediate", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-git-debugging-exercise-44-3bb50db9159c", "metadata": {"concept_id": "cs.git", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 3.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.65, "tests": 0.0, "total": 5.550000000000001}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Two people edited the same function on different branches. A merge stops with conflict markers. What does Git not know, and what must a human decide?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Conflict markers are not a compiler. Resolve, remove markers, and run tests before committing the merge.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Use-after-move. Clone if you need two owned Strings, or print before moving, or borrow with &s.", "assumptions": [], "concept_id": "rust.ownership", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "rust", "topic": "rust.ownership"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-rust-ownership-debugging-exercise-45-373723828958", "metadata": {"concept_id": "rust.ownership", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.65, "tests": 0.0, "total": 2.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "This snippet fails to compile: `let s = String::from(\"hi\"); let t = s; println!(\"{}\", s);`. What is the error class, and how do you print both?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "s was moved into t. Clone costs an allocation. Borrowing lets both names observe the same value without a second owner.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The send blocks forever if nobody receives; when main returns the process exits and the work is lost. Wait with a receive, WaitGroup, or a done channel.", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "go", "topic": "go.concurrency"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-go-concurrency-debugging-exercise-46-7b184ad1c385", "metadata": {"concept_id": "go.concurrency", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A goroutine sends on an unbuffered channel and the main function returns without receiving. What happens to that send, and how do you wait correctly?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Unbuffered send synchronizes with a receive. Exiting main does not drain other goroutines.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "19", "assumptions": [], "concept_id": "math.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.functions"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-functions-simple-exercise-47-6909f7326065", "metadata": {"concept_id": "math.functions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "f(x)=2x+1 and g(x)=x^2. What is (f ∘ g)(3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "g(3)=9, then f(9)=19.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 19.0, "got": 19.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "19.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Opposite is a side of the triangle, so it cannot exceed the hypotenuse. Their ratio is at most 1.", "assumptions": [], "concept_id": "math.trigonometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.trigonometry"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-trigonometry-concept-explanation-48-e6e8b67d73cf", "metadata": {"concept_id": "math.trigonometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why must sine of an angle in a right triangle be at most 1?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "sin = opposite/hypotenuse. Sides are positive and opposite ≤ hypotenuse.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Each element is independently in or out, giving 2 choices per element, so 2^n subsets.", "assumptions": [], "concept_id": "math.discrete", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.discrete"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-discrete-concept-explanation-49-2dd7b17da734", "metadata": {"concept_id": "math.discrete", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.9000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is the number of subsets of an n-element set 2^n, including the empty set?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The empty set is the all-out choice. The full set is the all-in choice.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The intersection would be counted twice. Use P(A)+P(B)-P(A and B).", "assumptions": [], "concept_id": "math.probability", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-probability-concept-explanation-50-db8f629d459f", "metadata": {"concept_id": "math.probability", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.7750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why can you not add P(A) and P(B) to get P(A or B) when A and B can both happen?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Inclusion-exclusion. Independent events still have a nonempty intersection in general.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Determinant 0 means the columns are linearly dependent, so the map collapses a line to a point and is not injective.", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.linear_algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-linear-algebra-concept-explanation-51-1ff2cd402011", "metadata": {"concept_id": "math.linear_algebra", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does a 2x2 matrix with determinant 0 fail to have an inverse?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Invertible linear maps are bijective. A collapsed direction cannot be undone.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Each remainder is a strictly smaller nonnegative integer, so the sequence of remainders cannot descend forever.", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-number-theory-concept-explanation-52-500e405b9a21", "metadata": {"concept_id": "math.number_theory", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does Euclid's algorithm terminate when computing gcd(a,b) for positive integers?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Well-ordering of nonnegative integers. gcd(a,b)=gcd(b, a mod b) preserves the gcd.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "KE is (1/2)mv^2, a square. Potential energy is defined up to an additive constant, so the zero point is a convention.", "assumptions": [], "concept_id": "science.energy", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.energy"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-energy-concept-explanation-53-4a447572d321", "metadata": {"concept_id": "science.energy", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.575}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why can kinetic energy never be negative in classical mechanics while gravitational potential can be set negative?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Speed squared is nonnegative. You may choose PE=0 at infinity, making bound orbits negative.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The balanced equation requires a fixed mole ratio. When one reactant is used up, leftover excess cannot form more product.", "assumptions": [], "concept_id": "science.stoichiometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.stoichiometry"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-stoichiometry-concept-explanation-55-5648d0ac6ea7", "metadata": {"concept_id": "science.stoichiometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why can a limiting reactant stop a reaction even if the other reactant is still present?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Stoichiometry is a ratio, not 'mix until gone'. Compute moles and compare to coefficients.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Wavelength halves because v=fλ with v constant.", "assumptions": [], "concept_id": "science.waves", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.waves"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-waves-concept-explanation-56-f831d83fc413", "metadata": {"concept_id": "science.waves", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "If you double frequency while holding wave speed fixed, what happens to wavelength, and why?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "λ=v/f. Doubling f halves λ.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Membership in a list is linear, so the loop can be quadratic. A set gives average-case O(1) membership.", "assumptions": [], "concept_id": "python.collections", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.collections"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-collections-debugging-exercise-57-c1523c033738", "metadata": {"concept_id": "python.collections", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 3.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Code does `seen = [];` then `if x not in seen: seen.append(x)` inside a hot loop of 10^6 items. What is the complexity problem, and what structure fixes membership?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use a set for 'have I seen this hashable x'. Lists preserve order if you also need insertion order; dict/set already do in modern CPython.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "A possible infinite loop: i may never change. Increment in a path that always runs, or add a termination condition that does not depend on the skipped branch.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.loops"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-loops-debugging-exercise-58-007463f00e41", "metadata": {"concept_id": "python.loops", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A while loop increments i only inside an `if` that sometimes fails, and i starts at 0. What class of bug is this, and what is the usual repair?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Loop variables must progress. Put i += 1 outside the failing if, or restructure.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "y is 4. Integers are immutable; x was rebound, y was not.", "assumptions": [], "concept_id": "python.variables", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.variables"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cov-python-variables-simple-exercise-59-e2ad6e199b2a", "metadata": {"concept_id": "python.variables", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "After `x = 4; y = x; x = 5`, what is y, and did y change because x changed?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Rebinding x does not follow other names. y still refers to 4.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "You cannot add numerators and denominators separately. Common denominator 6 gives 3/6+2/6=5/6.", "assumptions": [], "concept_id": "math.arithmetic", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "k5", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-arithmetic-concept-explanation-60-498af044146a", "metadata": {"concept_id": "math.arithmetic", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.175, "tests": 0.0, "total": 3.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is 1/2 + 1/3 not 2/5?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Fractions are ratios. 2/5 would be a different ratio, not the sum of halves and thirds.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "3*x**2", "assumptions": [], "concept_id": "math.calculus", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.calculus"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["sympy"]}, "id": "or-mathematics-cov-math-calculus-simple-exercise-61-2143fda30a90", "metadata": {"concept_id": "math.calculus", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 3.0250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is the derivative of x^3 with respect to x?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "Power rule: n x^{n-1}. Here n=3.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "3*x**2", "got": "3*x**2"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "3*x**2", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Newton's first law: zero net force means constant velocity, which may be nonzero.", "assumptions": [], "concept_id": "science.newton", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.newton"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-newton-concept-explanation-62-7beff458c00e", "metadata": {"concept_id": "science.newton", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "If net force is zero, why can an object still be moving?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Force changes velocity. Zero net force means no acceleration, not necessarily rest.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The list comprehension materializes every result immediately. The generator yields values lazily and can be iterated only once.", "assumptions": [], "concept_id": "python.comprehensions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.comprehensions"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-comprehensions-concept-explanation-63-35df8e18da4a", "metadata": {"concept_id": "python.comprehensions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 2.725}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is the difference between `[x*x for x in xs if x>0]` and a generator expression `(x*x for x in xs if x>0)`?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use the list when you need len, reuse, or random access. Use the generator for streaming large sequences.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "[0, 2, 4]", "assumptions": [], "concept_id": "python.comprehensions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.comprehensions"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-comprehensions-simple-exercise-64-648ea1e6b2e2", "metadata": {"concept_id": "python.comprehensions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What list does `[n for n in range(6) if n % 2 == 0]` produce?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "range(6) is 0..5. The filter keeps evens.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It replaces g with the result of f(g). f must return a callable (usually a wrapper).", "assumptions": [], "concept_id": "python.decorators", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.decorators"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-decorators-concept-explanation-65-63c67afc95b4", "metadata": {"concept_id": "python.decorators", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What does `@f` above `def g():` actually do at definition time?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "`def g` binds the original function, then `g = f(g)` runs. That is why argumentless decorators are callables that take a function.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The wrapper overwrote __name__. Apply @functools.wraps(func) on the inner function.", "assumptions": [], "concept_id": "python.decorators", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.decorators"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-decorators-debugging-exercise-66-3b12ecc404c0", "metadata": {"concept_id": "python.decorators", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 2.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A timing decorator's wrapper is named `inner` and tests assert `fn.__name__ == 'compute'`. Why do they fail, and what one-line fix is conventional?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "wraps copies __name__, __doc__, and __module__ from the wrapped function.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "__exit__ runs during stack unwind, so close happens on both success and exception paths.", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.context_managers"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-context-managers-concept-explanation-67-457534ef55a3", "metadata": {"concept_id": "python.context_managers", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does `with open(path) as f:` close the file even if the body raises?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The with-statement is try/finally around __enter__/__exit__. You still see the exception unless __exit__ swallows it.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Use with lock: so release runs if the critical section raises. Hand-paired acquire/release is easy to skip on error paths.", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.context_managers"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-context-managers-applied-exercise-68-574e14b725d0", "metadata": {"concept_id": "python.context_managers", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.7750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "When should you write a context manager for a lock versus calling acquire/release by hand?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Locks, files, and sessions are the usual with-targets because cleanup must be reliable.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "No. The annotation is not enforced at runtime. A type checker can still flag append('a').", "assumptions": [], "concept_id": "python.typing", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.typing"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-typing-concept-explanation-69-1e0b03261c91", "metadata": {"concept_id": "python.typing", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Does `x: list[int] = []` prevent appending a string at runtime in CPython?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Hints document intent. Runtime checks need isinstance or a validator.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It documents that None is a legal value. A plain str hint tells checkers that None is a mistake.", "assumptions": [], "concept_id": "python.typing", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.typing"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-typing-applied-exercise-70-05786ce65cbd", "metadata": {"concept_id": "python.typing", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is `Optional[str]` written as `str | None` in modern Python, and what does it allow that `str` does not?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Callers must handle None. The union is the type, not a runtime conversion.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The default encoding is locale-dependent, so the same bytes can decode differently on another machine.", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.file_io"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-file-io-concept-explanation-71-e1f575eaedab", "metadata": {"concept_id": "python.file_io", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.6500000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why should you pass encoding='utf-8' when opening text files rather than relying on the default?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Pin UTF-8 for portable text. Binary mode is for bytes that are not text.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Text mode used a locale encoding on write. Readers assuming UTF-8 mis-decode. Write with encoding='utf-8'.", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.file_io"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-file-io-debugging-exercise-72-5082a90b8173", "metadata": {"concept_id": "python.file_io", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 3.0500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A script writes JSON with `open(path,'w')` on Windows and a later reader on Linux sees garbage around non-ASCII. What went wrong?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "JSON should be UTF-8. Never depend on the ANSI code page for interchange.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "BFS expands by hop count, so the first time you reach a node is via a minimum number of edges. DFS can dive down a long path first.", "assumptions": [], "concept_id": "cs.graphs", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.graphs"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-graphs-concept-explanation-73-9a84fe4d3261", "metadata": {"concept_id": "cs.graphs", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does BFS find a shortest path in an unweighted graph while DFS generally does not?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Unweighted shortest path = fewest edges. Weights need Dijkstra or Bellman-Ford instead.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "4", "assumptions": [], "concept_id": "cs.graphs", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.graphs"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cov-cs-graphs-simple-exercise-74-ad031bafaffa", "metadata": {"concept_id": "cs.graphs", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "An undirected graph has 4 vertices and is a square (cycle of 4). How many edges does it have?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "A C4 has four vertices and four edges.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Equal keys keep their original relative order. Mergesort is typically stable; heapsort is not.", "assumptions": [], "concept_id": "cs.sorting", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.sorting"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-sorting-concept-explanation-75-d4ab6bf61c35", "metadata": {"concept_id": "cs.sorting", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What does it mean for a sort to be stable, and name one algorithm that is typically stable?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Stability matters when you sort by one key and then another. Unstable sorts can scramble the first key's order.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "There are n! possible orders. Each comparison has two outcomes, so you need log2(n!) comparisons, which is Theta(n log n) by Stirling.", "assumptions": [], "concept_id": "cs.sorting", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.sorting"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-sorting-applied-exercise-76-f2ba320139b1", "metadata": {"concept_id": "cs.sorting", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is comparison sorting Omega(n log n) in the worst case in the comparison model?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Decision trees of height h distinguish at most 2^h leaves. n! > 2^{o(n log n)}.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Optimal substructure and overlapping subproblems. You store answers to repeated subproblems instead of recomputing them.", "assumptions": [], "concept_id": "cs.dynamic_programming", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.dynamic_programming"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-dynamic-programming-concept-explanation-77-5f8f3e65f074", "metadata": {"concept_id": "cs.dynamic_programming", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.5500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What two properties make a problem a candidate for dynamic programming?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "If subproblems do not overlap, divide-and-conquer without a table is enough. If they do, memoization or a bottom-up table pays off.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "2", "assumptions": [], "concept_id": "cs.dynamic_programming", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.dynamic_programming"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cov-cs-dynamic-programming-simple-exercise-78-9401cf5a540b", "metadata": {"concept_id": "cs.dynamic_programming", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 2.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Naive recursive Fibonacci without memoization computes F(5). How many times is F(3) evaluated in the standard tree F(n)=F(n-1)+F(n-2) with F(0),F(1) bases?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "F(5) calls F(4) and F(3). F(4) calls F(3) and F(2). F(3) appears twice.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0, "got": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "The outcome depends on unsynchronized interleaving of accesses to shared state, so two runs with the same inputs can disagree.", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.concurrency"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-concurrency-concept-explanation-79-3334967d9c1b", "metadata": {"concept_id": "cs.concurrency", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is a race condition, in one operational sentence?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Fix by keeping data thread-confined, using locks/atomics, or avoiding shared mutation.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Both read 0, both write 1. The increments are not atomic.", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.concurrency"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-concurrency-debugging-exercise-80-ef59db8c28af", "metadata": {"concept_id": "cs.concurrency", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 3.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Two threads do `x = x + 1` on a shared integer without a lock. Why can the final x be 1 after both have 'incremented' once from 0?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Read-modify-write is three steps. A lock, or an atomic add, makes the pair one critical section.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Each process has its own virtual address space. The OS maps those addresses to physical memory separately.", "assumptions": [], "concept_id": "cs.os", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.os"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-os-concept-explanation-81-89fd5f556c0c", "metadata": {"concept_id": "cs.os", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why can two processes not see each other's local variables even though they run on the same CPU?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Isolation is a memory-management invariant. Shared memory exists only if explicitly requested.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "User code is not allowed to access device memory or other processes' pages directly. The syscall is the controlled crossing.", "assumptions": [], "concept_id": "cs.os", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.os"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-os-applied-exercise-82-4bef29683f50", "metadata": {"concept_id": "cs.os", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.675, "tests": 0.0, "total": 2.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A user program calls read() and the kernel copies bytes into the process buffer. Why must that copy (or an equivalent mapping) be mediated by the kernel?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Protection rings / user vs supervisor mode. Drivers and page tables live on the kernel side.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Both wait for the Promise. await pauses the async function and resumes with the fulfilled value or throws on rejection. then registers a callback without using throw.", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "javascript", "topic": "javascript.promises"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-javascript-promises-concept-explanation-83-1d061119fc25", "metadata": {"concept_id": "javascript.promises", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is the difference between `fn().then(handler)` and `await fn()` inside an async function?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "await is syntax over Promises. Unhandled rejection vs try/catch is the practical difference.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The Promise caches one settlement. Additional then-handlers observe it; they do not restart the executor.", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "javascript", "topic": "javascript.promises"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-javascript-promises-debugging-exercise-84-56136f815493", "metadata": {"concept_id": "javascript.promises", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Code does `promise.then(ok); promise.then(alsoOk)` expecting the executor to run twice. Why does the network request still happen once?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "To start work twice, call the factory twice. Sharing one Promise is how you join waiters.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "5", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-statistics-simple-exercise-85-d2f362c11979", "metadata": {"concept_id": "math.statistics", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is the mean of 2, 4, 6, 8?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "(2+4+6+8)/4 = 20/4 = 5.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0, "got": 5.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "The 99 pulls the mean up. The median 73 sits with the cluster of typical scores.", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-statistics-applied-exercise-86-4d0433d86f99", "metadata": {"concept_id": "math.statistics", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A class scored 70, 72, 74, 99. Why is the median a better 'typical score' headline than the mean?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Mean=(70+72+74+99)/4=78.75. Sorted median is average of 72 and 74 = 73.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "18", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-sequences-simple-exercise-87-d9d193209049", "metadata": {"concept_id": "math.sequences", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "An arithmetic sequence has first term 3 and common difference 5. What is the 4th term?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "a_n = a_1 + (n-1)d = 3 + 3*5 = 18.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 18.0, "got": 18.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "18.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-sequences-applied-exercise-88-2b0e01d9463e", "metadata": {"concept_id": "math.sequences", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 3.1}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A geometric series has first term 2 and ratio 1/2. What is the infinite sum, if it exists?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "For |r|<1, S=a/(1-r)=2/(1-1/2)=4.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "25104", "assumptions": [], "concept_id": "science.thermo", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.thermo"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-thermo-simple-exercise-89-5fcd81cb14b7", "metadata": {"concept_id": "science.thermo", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "How much heat in joules raises 2 kg of water by 3 K if c=4184 J/(kg·K)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Q=mcΔT=2*4184*3=25104 J.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 25104.0, "got": 25104.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "25104.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Metal conducts heat to your hand faster. Temperature can match; heat flow (conductivity) differs.", "assumptions": [], "concept_id": "science.thermo", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.thermo"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-thermo-concept-explanation-90-40af2a5ae63d", "metadata": {"concept_id": "science.thermo", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does a metal spoon in hot tea feel hotter than a wooden one at the same temperature after a minute?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Thermal conductivity, not a different thermometer reading of the bulk tea, explains the sensation.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "20", "assumptions": [], "concept_id": "science.optics", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.optics"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-optics-simple-exercise-91-89dc217ebc59", "metadata": {"concept_id": "science.optics", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.925, "tests": 0.0, "total": 4.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A converging lens has focal length 10 cm. A real object is 20 cm from the lens. Using 1/f = 1/v + 1/u with positive object and image distances, what is the image distance v in cm?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/10 = 1/v + 1/20, so 1/v = 1/10 - 1/20 = 1/20, hence v = 20.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 20.0, "got": 20.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Distant objects sit beyond 2f, producing a real inverted image. Nearby text inside f produces a virtual upright image that the eye can focus.", "assumptions": [], "concept_id": "science.optics", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.optics"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-optics-concept-explanation-92-0cb48c2ed93e", "metadata": {"concept_id": "science.optics", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.7, "tests": 0.0, "total": 2.6}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does a magnifying glass form a real inverted image of a distant window on a card, but a virtual upright image of nearby text for your eye?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Object distance relative to focal length switches the image type. Same lens, different u.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "1/4", "assumptions": [], "concept_id": "science.genetics", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.genetics"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-genetics-simple-exercise-93-12c0937c4416", "metadata": {"concept_id": "science.genetics", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Both parents are heterozygous Aa for a dominant trait. What fraction of offspring are expected aa?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Punnett: AA, Aa, Aa, aa. One of four is aa.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.25, "got": 0.25}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Carriers (heterozygotes) do not show the recessive trait, so affected children can be born to unaffected parents.", "assumptions": [], "concept_id": "science.genetics", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.genetics"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-genetics-concept-explanation-94-0c672f27f642", "metadata": {"concept_id": "science.genetics", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does a recessive disease skip generations in a pedigree more often than a dominant one?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Dominant traits appear whenever one copy is present, so they show in every generation they are transmitted (with complete penetrance).", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Each insert/update/delete must maintain the index structure in addition to the heap/table row.", "assumptions": [], "concept_id": "sql.indexes", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "sql", "topic": "sql.indexes"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-sql-indexes-concept-explanation-95-e6d88b9dc855", "metadata": {"concept_id": "sql.indexes", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why can an index make writes slower even when it makes some reads faster?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Indexes are extra data. Point lookups win; bulk loads and high-churn tables pay the maintenance.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "AttributeError: the instance never received x. Parent initialization did not run.", "assumptions": [], "concept_id": "python.classes", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.classes"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-classes-debugging-exercise-97-92ed2f15b426", "metadata": {"concept_id": "python.classes", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A subclass forgets to call super().__init__ and then uses self.x set only in the parent __init__. What happens on the first use of self.x?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Call super().__init__ (or duplicate the required setup) before using inherited attributes.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "5", "assumptions": [], "concept_id": "math.algebra", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-algebra-applied-exercise-98-a3b5b0e0481a", "metadata": {"concept_id": "math.algebra", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A rectangle's length is 3 more than its width. Perimeter is 26. What is the width?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "2(w+3)+2w=26 => 4w+6=26 => 4w=20 => w=5.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0, "got": 5.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Return passes the object reference. Caller and callee can share the same mutable list.", "assumptions": [], "concept_id": "python.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.functions"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-functions-concept-explanation-99-14f5bf6dd3d2", "metadata": {"concept_id": "python.functions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does returning a list from a function not copy it unless you copy explicitly?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "If isolation is required, return list(xs) or xs.copy(). Immutables cannot be mutated in place.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "3", "assumptions": [], "concept_id": "cs.data_structures", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cov-cs-data-structures-simple-exercise-100-cb1b91a8a883", "metadata": {"concept_id": "cs.data_structures", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A singly linked list has 4 nodes. How many next-pointer follows, starting at the head, reach the last node?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "From the first node you take 3 hops to the fourth.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.0, "got": 3.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "3", "assumptions": [], "concept_id": "python.variables", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.variables"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cov-python-variables-simple-exercise-101-bd71fd56ae71", "metadata": {"concept_id": "python.variables", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "After `x = 3; y = x; x = 4`, what is y?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "y still refers to the int 3. Rebinding x does not rebind y.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.0, "got": 3.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "The right-hand side is fully evaluated (as a tuple) before any assignment.", "assumptions": [], "concept_id": "python.variables", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.variables"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-variables-applied-exercise-102-745dcc65d19e", "metadata": {"concept_id": "python.variables", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why can `a, b = b, a` swap two names without a temporary in Python?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Both b and a are read first. Then the names are rebound. A staggered a=b; b=a would lose a value.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "`/` is true division (float). `//` is floor division for ints.", "assumptions": [], "concept_id": "python.expressions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.expressions"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-expressions-debugging-exercise-103-4351e97fbeb7", "metadata": {"concept_id": "python.expressions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.975, "tests": 0.0, "total": 4.0}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A learner writes `avg = total / count` when both are ints and is surprised in Python 3 vs a C mental model of truncating. What does Python 3 `/` do, and which operator truncates toward zero for ints?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "7/2 is 3.5. 7//2 is 3. Mixing C's / with Python 3 is a common porting bug.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "2; bool is a subclass of int, True==1.", "assumptions": [], "concept_id": "python.expressions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.expressions"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cov-python-expressions-applied-exercise-104-244eebd291d4", "metadata": {"concept_id": "python.expressions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is `True + True` in Python, and why is that legal?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Boolean values participate in integer arithmetic. Prefer explicit int() if the intent is numeric.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0, "got": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Later elif/else bodies are skipped; only one branch of the chain runs.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.conditionals"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-conditionals-simple-exercise-105-bd25f63e22fe", "metadata": {"concept_id": "python.conditionals", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What does `elif` mean relative to a chain of `if`s, if the first `if` already matched?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "elif is exclusive with prior matches. Separate ifs can all run.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Empty lists are falsy; the length form is noisier and still wrong if xs could be None (TypeError).", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.conditionals"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-conditionals-applied-exercise-106-1d17946d915f", "metadata": {"concept_id": "python.conditionals", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is `if xs:` preferred over `if len(xs) > 0:` for a possibly-None container you already know is a list?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Truthiness of containers is the idiomatic emptiness test. Guard None separately if needed.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Mutating a list while iterating shifts later items into the current index, so they are never visited.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.loops"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-loops-debugging-exercise-107-f7310c7bda78", "metadata": {"concept_id": "python.loops", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.1500000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A loop `for x in xs: xs.remove(x)` skips elements. Why?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Iterate a copy, or build a new list, or walk indices from the end.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "3 times: 2, 5, 8", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.loops"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cov-python-loops-simple-exercise-108-ab58243f2322", "metadata": {"concept_id": "python.loops", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "How many times does `for i in range(2, 10, 3):` run, and what values of i?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Start 2, step 3, stop before 10.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.0, "got": 3.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "print writes to stdout and the function still returns None by default.", "assumptions": [], "concept_id": "python.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.functions"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-functions-debugging-exercise-109-85242e61864c", "metadata": {"concept_id": "python.functions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A function uses `print(total)` instead of `return total`. A caller `x = compute()` gets None. Why?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Return the value. Printing is a side effect, not a result.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The parameter binds to the same object; a copy costs time and memory without changing read-only use.", "assumptions": [], "concept_id": "python.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.functions"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-functions-applied-exercise-110-60be018a1174", "metadata": {"concept_id": "python.functions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why pass a large list into a function rather than copying it, if the function only reads?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "If the function might mutate, pass a copy or use a tuple.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "TypeError; lists are unhashable so they cannot be dict keys.", "assumptions": [], "concept_id": "python.collections", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.collections"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-collections-debugging-exercise-111-2be27d04587f", "metadata": {"concept_id": "python.collections", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "`d = {}; d[ [1,2] ] = 3` raises. What exception class and why?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use a tuple (1, 2) if the pair is the key.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "{1, 2, 3}", "assumptions": [], "concept_id": "python.collections", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.collections"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-collections-simple-exercise-112-4b39586dddd0", "metadata": {"concept_id": "python.collections", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.1}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is `{1, 2, 2, 3}` after construction?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Sets drop duplicates. Display order is not a contract.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "id is a class attribute; self.id lookup finds the shared list unless rebound on the instance.", "assumptions": [], "concept_id": "python.classes", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.classes"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-classes-debugging-exercise-113-0cc4e36647fd", "metadata": {"concept_id": "python.classes", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A class sets `id = []` in the class body. Instances append to `self.id`. Why do they share one list?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Create a new list in __init__ as an instance attribute.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "yes", "assumptions": [], "concept_id": "python.exceptions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.exceptions"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-exceptions-simple-exercise-114-252740215a7f", "metadata": {"concept_id": "python.exceptions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Does `finally` run if `except` re-raises? Yes or no.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "finally runs on the way out, including when an exception propagates.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It hides unexpected bugs and can swallow programming errors you wanted to crash on.", "assumptions": [], "concept_id": "python.exceptions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.exceptions"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-exceptions-applied-exercise-115-908798c4928b", "metadata": {"concept_id": "python.exceptions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is catching Exception around a whole request handler often worse than catching a specific parse error?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Catch the recoverable type near the source. Let unknown errors surface.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "sys.modules caches the module; from-import binds names once. Reloading is not automatic.", "assumptions": [], "concept_id": "python.modules", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.modules"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-modules-applied-exercise-116-00f008238529", "metadata": {"concept_id": "python.modules", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why can `from pkg import util` and `import pkg.util` bind different objects if util.py mutated after the first import?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Treat imports as identity of the module object. Avoid mutable module-level state.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "missing", "assumptions": [], "concept_id": "python.iterators", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.iterators"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-iterators-simple-exercise-117-d2a0e40821d1", "metadata": {"concept_id": "python.iterators", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.125, "tests": 0.0, "total": 2.0250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What does `next(iter([]), 'missing')` return?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The default is returned when the iterator is exhausted immediately.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "zip is lazy. A second iteration is empty unless you materialize or tee.", "assumptions": [], "concept_id": "python.iterators", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.iterators"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-iterators-applied-exercise-118-f25e39c72caa", "metadata": {"concept_id": "python.iterators", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is `zip(a, b)` not a list, and when does that matter?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Call list(zip(...)) if you need two passes.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Any nonempty list is truthy, including the wrong contents.", "assumptions": [], "concept_id": "python.testing", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.testing"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-testing-debugging-exercise-119-26479a70186d", "metadata": {"concept_id": "python.testing", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A test asserts `self.assertTrue(xs)` on a list that should equal [1,2]. Why is that a weak test?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Assert equality with the expected list.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "once per test method", "assumptions": [], "concept_id": "python.testing", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.testing"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-testing-simple-exercise-120-edc95776c64c", "metadata": {"concept_id": "python.testing", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "unittest: should `setUp` run once per test method or once per class by default?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "setUpClass is the per-class hook. setUp isolates tests.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Broken precondition; the algorithm's invariant does not hold.", "assumptions": [], "concept_id": "cs.algorithms", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-algorithms-debugging-exercise-121-7121a0b80d82", "metadata": {"concept_id": "cs.algorithms", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A two-pointer scan assumes a sorted array but the caller passed insertion order. What class of bug is this?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Sort first if the API allows, or document and reject unsorted input.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Theta(log n)", "assumptions": [], "concept_id": "cs.algorithms", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-algorithms-simple-exercise-122-a8e33c69aff7", "metadata": {"concept_id": "cs.algorithms", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "In a binary heap of n items, what is Theta of sift-down from the root in the worst case?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The height of a binary heap is Theta(log n).", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "pop(0) is O(n); deque popleft is O(1).", "assumptions": [], "concept_id": "cs.data_structures", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.data_structures"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-data-structures-concept-explanation-123-59d2dcc81385", "metadata": {"concept_id": "cs.data_structures", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "When is a deque a better queue than a list using pop(0)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Lists are arrays. Deques are designed for ends.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "If size is even, even keys all share one residue class modulo 2, and doubling can preserve a bad modulus.", "assumptions": [], "concept_id": "cs.data_structures", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.data_structures"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-data-structures-debugging-exercise-124-af9f9734d4ea", "metadata": {"concept_id": "cs.data_structures", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A hash table resizes at load 2/3 but the hash is `key % size` with size always even. Why can clustering get worse after resize if keys are even?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use a prime table size or a mixing hash, not raw modulo of a structured key.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "O(n log n)", "assumptions": [], "concept_id": "cs.complexity", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.complexity"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-complexity-applied-exercise-125-0af7758c1088", "metadata": {"concept_id": "cs.complexity", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 3.0250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "You replace an O(n^2) loop with an O(n log n) sort-plus-scan. For n=10^6, which is expected to win, ignoring constants?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "n log n grows slower than n^2. Constants can still matter at small n.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Each += may copy the growing string, totaling Theta(n^2) characters copied.", "assumptions": [], "concept_id": "cs.complexity", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.complexity"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-complexity-debugging-exercise-126-4075f9740267", "metadata": {"concept_id": "cs.complexity", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 2.825}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A function is O(n) but repeatedly concatenates strings in a loop (`s += chunk`). Why can it still be quadratic in CPython?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Join a list of chunks, or use a buffer.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "O(log n) vs O(n)", "assumptions": [], "concept_id": "cs.recursion", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.recursion"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-recursion-simple-exercise-127-70e28b860ba2", "metadata": {"concept_id": "cs.recursion", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 2.725}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is the maximum recursion depth roughly needed for a balanced binary tree of n nodes versus a linked-list-shaped tree, for a DFS?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Stack depth tracks tree height. Skewed trees are linear height.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "When input height can be thousands; raising the limit still risks crashing the process.", "assumptions": [], "concept_id": "cs.recursion", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.recursion"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-recursion-applied-exercise-128-b8a14467cf89", "metadata": {"concept_id": "cs.recursion", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "When is converting recursion to an explicit stack preferable to sys.setrecursionlimit?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "An explicit stack uses heap memory and is bounded by your checks.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "COUNT(col) is fewer or equal; it skips NULLs. COUNT(*) counts rows.", "assumptions": [], "concept_id": "cs.sql", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "sql", "topic": "cs.sql"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-sql-debugging-exercise-129-34e1e4a17b05", "metadata": {"concept_id": "cs.sql", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "`SELECT COUNT(*)` vs `COUNT(col)` when col has NULLs. Which counts fewer rows, and why?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "NULL is not a value of col. COUNT(*) is row cardinality.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Wrapping the column in a function hides the index; a range predicate on ts can use it.", "assumptions": [], "concept_id": "cs.sql", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "sql", "topic": "cs.sql"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-sql-applied-exercise-130-6a4895b41171", "metadata": {"concept_id": "cs.sql", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why can `WHERE year = 2024` be sargable on an indexed year column while `WHERE YEAR(ts)=2024` often is not?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Write ts >= '2024-01-01' AND ts < '2025-01-01'.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "307/308 preserve method; converting POST to GET can drop the body and change a write into a read.", "assumptions": [], "concept_id": "cs.http", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.http"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-http-debugging-exercise-131-ddf7565e587e", "metadata": {"concept_id": "cs.http", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 3.0250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A client treats HTTP 301 and 302 the same and changes POST to GET after redirect. Which status is specified to keep the method (in modern practice), and what goes wrong if you always GET?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Follow redirect rules per status. 301/302 historically mutated to GET in browsers.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "no", "assumptions": [], "concept_id": "cs.http", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.http"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-http-simple-exercise-132-a7f5637bcc06", "metadata": {"concept_id": "cs.http", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Is HEAD supposed to have a response body? Yes or no.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "HEAD returns the headers a GET would, without the body.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Stashes are easy to drop, are not first-class history, and do not review well.", "assumptions": [], "concept_id": "cs.git", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.git"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-git-applied-exercise-133-608406a681a3", "metadata": {"concept_id": "cs.git", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.375}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is `git stash` a poor backup compared to a commit on a branch?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "WIP commits on a branch are fetchable, reflogged, and describable.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It is only in the reflog until garbage-collected; main does not include it.", "assumptions": [], "concept_id": "cs.git", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.git"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-git-debugging-exercise-134-926c36d0252d", "metadata": {"concept_id": "cs.git", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 2.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Detached HEAD after checkout of a tag: you commit, then checkout main. Where did the commit go if you did not create a branch?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Create a branch at the commit before switching away.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "let is block-scoped per iteration when declared in the loop; var is function-scoped.", "assumptions": [], "concept_id": "javascript.closures", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "javascript", "topic": "javascript.closures"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-javascript-closures-applied-exercise-135-01960069a61e", "metadata": {"concept_id": "javascript.closures", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 2.6750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does wrapping a loop body in `{ let i = ... }` change what a later callback sees versus `var`?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "for (let i=...) already creates a fresh binding. var does not.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "live binding", "assumptions": [], "concept_id": "javascript.closures", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "javascript", "topic": "javascript.closures"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-javascript-closures-simple-exercise-136-3d5e2a2be258", "metadata": {"concept_id": "javascript.closures", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.35}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Does a closure copy primitive values from the outer scope at creation time, or keep a live binding?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "It closes over the variable, not a snapshot, unless you copy explicitly.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "No; it rejects when the first rejection happens (after that promise settles).", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "javascript", "topic": "javascript.promises"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-javascript-promises-debugging-exercise-137-85b50683f695", "metadata": {"concept_id": "javascript.promises", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "`Promise.all` on [ok, reject, ok] — does it wait for the last success?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use allSettled if you need every outcome.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "When each step depends on the previous result or must not run in parallel.", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "javascript", "topic": "javascript.promises"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-javascript-promises-applied-exercise-138-56f0e0d515fc", "metadata": {"concept_id": "javascript.promises", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is `await` in a loop sometimes required instead of `Promise.all`, even if it is slower?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Parallelism is incorrect for sequential side effects.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Reasonable for DAG-like shared ownership of immutable data. A smell if you need Rc<RefCell> everywhere to mutate.", "assumptions": [], "concept_id": "rust.ownership", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "rust", "topic": "rust.ownership"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-rust-ownership-applied-exercise-139-66d89131ce2f", "metadata": {"concept_id": "rust.ownership", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "When is `Rc<T>` a reasonable escape from exclusive ownership, and when is it hiding a design problem?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Prefer borrowing. Interior mutability plus shared ownership is easy to alias incorrectly.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "no", "assumptions": [], "concept_id": "rust.ownership", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "rust", "topic": "rust.ownership"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-rust-ownership-simple-exercise-140-00152082b824", "metadata": {"concept_id": "rust.ownership", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Can you have two simultaneous `&mut` to the same local? Yes or no.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Aliasing XOR mutability: at most one exclusive borrow.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Range stops after close and drain. Only the sender should close.", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "go", "topic": "go.concurrency"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-go-concurrency-applied-exercise-141-b54c3f7d9be7", "metadata": {"concept_id": "go.concurrency", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is ranging over a channel a shutdown protocol, and who should close?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Closing from the receiver races with sends (panic).", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "yes", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "go", "topic": "go.concurrency"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-go-concurrency-simple-exercise-142-957c96f2e14f", "metadata": {"concept_id": "go.concurrency", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Buffered channel of size 1: can a send proceed without a receiver waiting yet? Yes or no.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The buffer holds one value. Unbuffered send always synchronizes.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "9", "assumptions": [], "concept_id": "math.arithmetic", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "k5", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-arithmetic-applied-exercise-143-f3bc06b49704", "metadata": {"concept_id": "math.arithmetic", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.5500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A recipe for 4 people uses 6 eggs. How many eggs for 6 people, scaling linearly?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "6*(6/4)=9.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 9.0, "got": 9.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "9.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Subtraction is left-associative; 16-8-2 = (16-8)-2 = 6.", "assumptions": [], "concept_id": "math.arithmetic", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.arithmetic"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "k5", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-arithmetic-debugging-exercise-144-523ff0882694", "metadata": {"concept_id": "math.arithmetic", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 3.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A student computes 16-8-2 as 16-(8-2)=10. What went wrong?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Parentheses changed the meaning. Write (16-8)-2 or 16-8-2 consistently.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 6.0, "got": 6.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "6.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "8", "assumptions": [], "concept_id": "math.algebra", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-algebra-simple-exercise-145-8b2083b9f9ef", "metadata": {"concept_id": "math.algebra", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.125, "tests": 0.0, "total": 2.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Solve 2(x-3)=10. What is x?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "x-3=5, x=8.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 8.0, "got": 8.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "8.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "The middle term -6x; (x-3)^2 = x^2-6x+9.", "assumptions": [], "concept_id": "math.algebra", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-algebra-debugging-exercise-146-1d2c426779fe", "metadata": {"concept_id": "math.algebra", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 2.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 4.15}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Expanding (x-3)^2 a student writes x^2-9. What term was dropped?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "FOIL or (a-b)^2=a^2-2ab+b^2.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "19", "assumptions": [], "concept_id": "math.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.functions"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-functions-simple-exercise-147-2728d50eef4b", "metadata": {"concept_id": "math.functions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.175, "tests": 0.0, "total": 2.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "If f(x)=2x+1 and g(x)=x^2, what is f(g(3))?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "g(3)=9, f(9)=19.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 19.0, "got": 19.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "19.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Composition is not pointwise multiplication.", "assumptions": [], "concept_id": "math.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.functions"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-functions-debugging-exercise-148-d54f1ecc57f8", "metadata": {"concept_id": "math.functions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A student computes (f ∘ g)(x) as f(x)*g(x). Name the error.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "(f ∘ g)(x)=f(g(x)). Product is a different operation.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "12", "assumptions": [], "concept_id": "math.calculus", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.calculus"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-calculus-simple-exercise-149-203e169e3594", "metadata": {"concept_id": "math.calculus", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.125, "tests": 0.0, "total": 2.4000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "d/dx of x^3 at x=2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "3x^2 at 2 is 12.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 12.0, "got": 12.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "12.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "The derivative of a constant is 0.", "assumptions": [], "concept_id": "math.calculus", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.calculus"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-calculus-debugging-exercise-150-7b4329a32686", "metadata": {"concept_id": "math.calculus", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A student says the derivative of a constant 7 is 7. Correction?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Slope of a horizontal line is zero. 7 is the function value, not the slope.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.0, "got": 0.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "They computed circumference; area is 16*pi.", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.geometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["sympy"]}, "id": "or-mathematics-cov-math-geometry-debugging-exercise-151-e09a3a34ebbd", "metadata": {"concept_id": "math.geometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Someone uses area=2πr for a circle of radius 4. What quantity did they compute instead, and what is the area in terms of pi?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "C=2πr, A=πr^2=16π.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "16*pi", "got": "16*pi"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "16*pi", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "SSA is not a congruence theorem; two triangles can share SSA data and not be congruent (ambiguous case).", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.geometry"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-geometry-concept-explanation-152-da67f73714c3", "metadata": {"concept_id": "math.geometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why does SSS congruence not need a separate 'SSA' twin in Euclidean geometry?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "SSS uniquely determines a triangle up to congruence. SSA does not.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The student mixed degree measure with a radian-mode evaluation.", "assumptions": [], "concept_id": "math.trigonometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.trigonometry"}, "difficulty": "intermediate", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-trigonometry-debugging-exercise-153-d6e38f3b351b", "metadata": {"concept_id": "math.trigonometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 2.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 4.525}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "sin(30°) is computed as 0.5 but the calculator was in radians. What goes wrong conceptually?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "sin(30 rad) is not 1/2. Convert or switch mode.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "5/13", "assumptions": [], "concept_id": "math.trigonometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.trigonometry"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-trigonometry-applied-exercise-154-23e35169fa8e", "metadata": {"concept_id": "math.trigonometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A right triangle has opposite 5 and hypotenuse 13. What is sin of that angle as a reduced fraction?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "sin=opp/hyp=5/13.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.3846153846, "got": 0.3846153846}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.3846153846", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10^2 = 100; order matters and repetition is allowed.", "assumptions": [], "concept_id": "math.discrete", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.discrete"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-discrete-debugging-exercise-155-b20068ef9703", "metadata": {"concept_id": "math.discrete", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Counting passwords of length 2 from 10 symbols with repetition, a student uses C(10,2). What should they use?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "C(10,2) is unordered distinct pairs.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 100.0, "got": 100.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "100.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": [], "concept_id": "math.discrete", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.discrete"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-discrete-applied-exercise-156-e091a2f2c69d", "metadata": {"concept_id": "math.discrete", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "How many edges in K_5, the complete graph on 5 vertices?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "C(5,2)=10.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 10.0, "got": 10.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "10.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "1/4", "assumptions": [], "concept_id": "math.probability", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.probability"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-probability-debugging-exercise-157-cda66c5da1e7", "metadata": {"concept_id": "math.probability", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.725, "tests": 0.0, "total": 2.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Two fair coins. A student says P(two heads)=1/3 because HH,HT,TH 'wait they listed TT too' — they listed HH, HT, TT and dropped TH. What is the real probability?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Four equally likely outcomes; only HH.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.25, "got": 0.25}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.8", "assumptions": [], "concept_id": "math.probability", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.probability"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-probability-applied-exercise-158-daea4c07bacb", "metadata": {"concept_id": "math.probability", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "P(A)=0.3, P(B)=0.5, disjoint. What is P(A or B)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Add when disjoint: 0.3+0.5.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.8, "got": 0.8}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.8", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Always, unless they meant the Schur product; standard AB uses row-column dots.", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.linear_algebra"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-linear-algebra-debugging-exercise-159-2a7f0aa4941e", "metadata": {"concept_id": "math.linear_algebra", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.5500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A student multiplies 2x2 matrices by multiplying matching entries (Hadamard). When is that not matrix multiplication?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "(AB)_{ij}=row i of A dot column j of B.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "[[1, 2], [3, 4]]", "assumptions": [], "concept_id": "math.linear_algebra", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.linear_algebra"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-linear-algebra-applied-exercise-160-9ea28c694568", "metadata": {"concept_id": "math.linear_algebra", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What is the identity matrix I_2 times [[1,2],[3,4]]?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "IA=A.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "6", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-number-theory-applied-exercise-161-6504713a5ff9", "metadata": {"concept_id": "math.number_theory", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.075, "tests": 0.0, "total": 2.475}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "gcd(24, 18) is?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Euclid: 24=1*18+6, 18=3*6+0.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 6.0, "got": 6.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "6.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "15=3*5; odd composites exist.", "assumptions": [], "concept_id": "math.number_theory", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.number_theory"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-number-theory-debugging-exercise-162-dcf1857fe900", "metadata": {"concept_id": "math.number_theory", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A student says 15 is prime because it is odd. Correction?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Primality is about factors, not parity (except 2).", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The mean is pulled by 100; the median 2.5 (or 2/3 depending on convention) is robust.", "assumptions": [], "concept_id": "math.statistics", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.statistics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-statistics-debugging-exercise-163-204935f2169e", "metadata": {"concept_id": "math.statistics", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 2.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Data 1, 2, 3, 100. A student reports the mean as a typical value. Why is the median often better here?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "For even n, median is average of the two central values: (2+3)/2=2.5.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.5, "got": 2.5}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "The differences are 3 then 6; it is geometric with ratio 2, not arithmetic.", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.sequences"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-mathematics-cov-math-sequences-debugging-exercise-164-78c5f54ee3ba", "metadata": {"concept_id": "math.sequences", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.25}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "An arithmetic sequence 3, 6, 12... a student used a=3, d=3. What is wrong?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Arithmetic needs constant difference.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "45", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "math.sequences"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cov-math-sequences-simple-exercise-165-75e2370d7d2d", "metadata": {"concept_id": "math.sequences", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.625}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Geometric: first term 3, ratio 2, 4 terms. Sum?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "3(2^4-1)/(2-1)=45.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 45.0, "got": 45.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "45.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Untreated plants grown otherwise the same; growth happens without fertilizer too.", "assumptions": [], "concept_id": "science.method", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.method"}, "difficulty": "introductory", "domain": "science", "education_level": "middle_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-method-debugging-exercise-166-1ff9ceaacb82", "metadata": {"concept_id": "science.method", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A student 'proves' a fertilizer works by showing treated plants grew. What missing piece is the control?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Compare to control. Anecdote is not a controlled test.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Independent replicates capture biological/plot variation, not just instrument jitter.", "assumptions": [], "concept_id": "science.method", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.method"}, "difficulty": "beginner", "domain": "science", "education_level": "middle_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-method-concept-explanation-167-87f5d73a42a6", "metadata": {"concept_id": "science.method", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 2.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 4.45}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is replication more than repeating a measurement on the same plant five times in one minute?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Pseudoreplication pretends dependent data are independent.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It keeps constant velocity, which may be zero or nonzero.", "assumptions": [], "concept_id": "science.newton", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.newton"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-newton-debugging-exercise-168-4d700a7e6c35", "metadata": {"concept_id": "science.newton", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A 2 kg object with net force 0 is said to 'stop'. What does Newton actually say?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "F_net=0 means a=0, not v=0.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "4", "assumptions": [], "concept_id": "science.newton", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.newton"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-newton-applied-exercise-169-e7f7f3824e0e", "metadata": {"concept_id": "science.newton", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Net force 20 N on 5 kg. Acceleration magnitude?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "a=F/m=4 m/s^2.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "10", "assumptions": [], "concept_id": "science.energy", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.energy"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-energy-debugging-exercise-170-4da11678735f", "metadata": {"concept_id": "science.energy", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.65, "tests": 0.0, "total": 3.0500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A student sets mgh = 1/2 mv^2 and cancels m, then uses g=10, h=5, and reports v=10 forgetting the 2. Compute the actual v from v=sqrt(2gh).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "v=sqrt(2*10*5)=sqrt(100)=10. If they dropped the 2 they would get sqrt(50).", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 10.0, "got": 10.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "10.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "24", "assumptions": [], "concept_id": "science.energy", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.energy"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-energy-applied-exercise-171-cacf4e2fc61b", "metadata": {"concept_id": "science.energy", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.325}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Work = force times displacement along the force. 8 N through 3 m, parallel. Work in J?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "W=Fd=24 J.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 24.0, "got": 24.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "24.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Series adds; equivalent is 8 ohm.", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.circuits"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-circuits-debugging-exercise-172-8da3d3eec02c", "metadata": {"concept_id": "science.circuits", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.4250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Two 4 ohm resistors in series are treated as 4 ohm total. Correction and series equivalent?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Parallel would be 2 ohm. Series 4+4=8.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 8.0, "got": 8.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "8.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "18", "assumptions": [], "concept_id": "science.circuits", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.circuits"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-circuits-applied-exercise-173-26a0865d4e87", "metadata": {"concept_id": "science.circuits", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.1500000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Power P=IV. 3 A through 6 V. Power in W?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "P=18 W.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 18.0, "got": 18.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "18.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "2", "assumptions": [], "concept_id": "science.stoichiometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.stoichiometry"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-stoichiometry-applied-exercise-174-a8dd55c2077e", "metadata": {"concept_id": "science.stoichiometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.5500000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "2H2 + O2 -> 2H2O. How many moles of O2 are needed for 4 mol H2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Ratio H2:O2 is 2:1, so 4 mol H2 need 2 mol O2.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0, "got": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Atoms of each element, not the count of molecules.", "assumptions": [], "concept_id": "science.stoichiometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.stoichiometry"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-stoichiometry-debugging-exercise-175-4346f70208f5", "metadata": {"concept_id": "science.stoichiometry", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 2.7}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A student conserves mass by counting moles of molecules equal on both sides of 2H2+O2->2H2O (3 vs 2). What should be conserved?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "4 H atoms and 2 O atoms on both sides.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "5", "assumptions": [], "concept_id": "science.waves", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.waves"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-waves-applied-exercise-176-3ea50bd6c0e5", "metadata": {"concept_id": "science.waves", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.15, "tests": 0.0, "total": 2.1750000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Period 0.2 s. Frequency in Hz?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "f=1/T=5 Hz.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0, "got": 5.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "49/9", "assumptions": [], "concept_id": "science.waves", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.waves"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-waves-debugging-exercise-177-6b9c01a10ade", "metadata": {"concept_id": "science.waves", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.875, "tests": 0.0, "total": 3.5250000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A student adds two amplitudes 3 and 4 and reports intensity scaled by 7. For coherent in-phase waves, intensity scales with amplitude squared. If amplitude becomes 7, intensity scales by what factor vs amplitude 3?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "I ~ A^2 so (7/3)^2=49/9.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.444444444, "got": 5.444444444}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.444444444", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6", "assumptions": [], "concept_id": "science.thermo", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.thermo"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-thermo-debugging-exercise-178-6ca3758fde5a", "metadata": {"concept_id": "science.thermo", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.6500000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Heat and temperature are used interchangeably. Give one sentence distinguishing them, then compute Q=mcΔT for m=2, c=1, ΔT=3 (arbitrary units).", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Temperature is a state; heat is energy transferred. Q=2*1*3=6.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 6.0, "got": 6.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "6.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "20", "assumptions": [], "concept_id": "science.optics", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.optics"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-optics-applied-exercise-179-1c0ede59eb8f", "metadata": {"concept_id": "science.optics", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 1.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 3.6500000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Thin lens: f=10 cm, object at 20 cm. Image distance v from 1/f=1/v+1/u with u=20. What is v in cm?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1/10=1/v+1/20 => 1/v=1/20 => v=20.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 20.0, "got": 20.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "20.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "negative", "assumptions": [], "concept_id": "science.optics", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.optics"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cov-science-optics-debugging-exercise-180-65db4e4b2d1c", "metadata": {"concept_id": "science.optics", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 1.0, "tests": 0.0, "total": 2.9000000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A student treats a diverging lens like a converging one with positive f in the same sign convention without flipping f. What sign should f have for a diverging lens in the common Cartesian convention used in many intro courses?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Diverging lenses have negative focal length in that convention.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "1/4", "assumptions": [], "concept_id": "science.genetics", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "topic": "science.genetics"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cov-science-genetics-applied-exercise-181-556ea4ae7b64", "metadata": {"concept_id": "science.genetics", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.9250000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "AaBb x aabb independent assortment. What fraction of offspring are aabb?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Each locus is a testcross 1/2 recessive; 1/2 * 1/2 = 1/4.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.25, "got": 0.25}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.25", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "[0, 4]", "assumptions": [], "concept_id": "python.comprehensions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.comprehensions"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-comprehensions-simple-exercise-182-3cd543459320", "metadata": {"concept_id": "python.comprehensions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.3000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What list does `[n*n for n in range(4) if n%2==0]` produce?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "n=0 and n=2.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Comprehensions hide side effects; a for-loop makes the I/O obvious and easier to handle errors.", "assumptions": [], "concept_id": "python.comprehensions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.comprehensions"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-comprehensions-applied-exercise-183-0c97188fa897", "metadata": {"concept_id": "python.comprehensions", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why is a list comprehension a bad place to call a function that writes to disk for each item?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use comprehensions for pure mapping/filtering.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It becomes the wrapper's name, not the original function's.", "assumptions": [], "concept_id": "python.decorators", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.decorators"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-decorators-simple-exercise-184-f46329d13d8d", "metadata": {"concept_id": "python.decorators", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.1}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Without functools.wraps, what happens to `fn.__name__` after `@decorator`?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "wraps copies metadata. Debugging and docs break otherwise.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "yes", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.context_managers"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-context-managers-simple-exercise-185-e1908ad0ae0b", "metadata": {"concept_id": "python.context_managers", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 2.2750000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Does `__exit__` run if the with-block raises? Yes or no.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "That is why files still close on error.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "no", "assumptions": [], "concept_id": "python.typing", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.typing"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-typing-simple-exercise-186-838bd9de709b", "metadata": {"concept_id": "python.typing", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "At runtime, does `def f(x: int)` reject f('a') by itself in stock CPython?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Annotations are not checked at runtime unless a library does so.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The default encoding is locale-dependent and can mis-decode bytes.", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "python.file_io"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-python-file-io-simple-exercise-187-4a076aed2c4d", "metadata": {"concept_id": "python.file_io", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.8000000000000003}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why pass encoding='utf-8' to open() on Windows for a UTF-8 file?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Be explicit for portable text I/O.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "BFS; first time you reach the node is a minimum hop count.", "assumptions": [], "concept_id": "cs.graphs", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.graphs"}, "difficulty": "introductory", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-graphs-simple-exercise-188-cd59a17f2886", "metadata": {"concept_id": "cs.graphs", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.225}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "BFS vs DFS for shortest hops on an unweighted graph: which, and why?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "DFS can find a long path first.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Adjacency lists; matrix is Theta(n^2) entries.", "assumptions": [], "concept_id": "cs.graphs", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.graphs"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-graphs-applied-exercise-189-8f51f84db785", "metadata": {"concept_id": "cs.graphs", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.75, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 3.075}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Adjacency matrix vs list for a sparse graph with n=10^5, m=10^5: which stores fewer edge slots, roughly?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Lists are Theta(n+m).", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Sort by the secondary key first, then stable-sort by the primary key.", "assumptions": [], "concept_id": "cs.sorting", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.sorting"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-sorting-applied-exercise-190-a53ad7112600", "metadata": {"concept_id": "cs.sorting", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.75}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "When do you need a stable sort for a two-key sort (sort by last name, then keep first-name order)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Unstable primary sort can scramble equal last names.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Optimal substructure and overlapping subproblems.", "assumptions": [], "concept_id": "cs.dynamic_programming", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.dynamic_programming"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-dynamic-programming-simple-exercise-191-c5a337a0ee1e", "metadata": {"concept_id": "cs.dynamic_programming", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "What two properties make a problem a DP candidate?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Without overlap, divide-and-conquer suffices. Without optimal substructure, greed/DP recurrences fail.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "lost update / race", "assumptions": [], "concept_id": "cs.concurrency", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.concurrency"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-concurrency-simple-exercise-192-602fb6ed3c37", "metadata": {"concept_id": "cs.concurrency", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.875}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Name the bug when two threads do `x = x + 1` on a shared int without a lock.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Read-modify-write is not atomic. Use a lock or an atomic counter.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "the syscall / trap into the kernel", "assumptions": [], "concept_id": "cs.os", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "python", "topic": "cs.os"}, "difficulty": "intermediate", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-cs-os-simple-exercise-193-0e7bf3b2e0cd", "metadata": {"concept_id": "cs.os", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 3.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 5.5}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "User code calls read(). Who switches to kernel mode, the compiler or the syscall?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The compiler emits a syscall; the processor exception/syscall instruction enters the kernel.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "it depends", "assumptions": [], "concept_id": "sql.indexes", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "sql", "topic": "sql.indexes"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-sql-indexes-simple-exercise-194-417a51a97a83", "metadata": {"concept_id": "sql.indexes", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 3.2}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "A unique index on email: can two rows have NULL email in SQL systems that treat NULL as distinct in unique indexes? Answer: it depends / yes-in-some / never. Pick 'it depends'.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "SQL unique constraints historically allow multiple NULLs; engines differ. Do not assume.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "A composite B-tree is ordered by the leftmost prefix first.", "assumptions": [], "concept_id": "sql.indexes", "constraints": ["Original Open Reason wording. Do not treat this as a copy of a named course."], "context": {"coverage": true, "curriculum": true, "language": "sql", "topic": "sql.indexes"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["open-reason-curriculum"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cov-sql-indexes-applied-exercise-195-a42dff905e3f", "metadata": {"concept_id": "sql.indexes", "coverage": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.6500000000000004}, "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Identify the concept", "Apply it", "State the answer"], "prompt": "Why can an index on (last, first) serve `WHERE last=?` but not `WHERE first=?` well?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.coverage_tasks", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.coverage_tasks", "source_id": null, "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "coverage_task_generation", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original coverage task; not copied"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Leading-column predicates can range-scan. Isolated right columns cannot.", "strategy": ["Identify the concept", "Apply it", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["coverage_analysis", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It binds a second name to the same object. Mutations through either name are visible to both.", "assumptions": [], "concept_id": "python.variables", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "khan_academy_computing", "language": "python", "topic": "programming"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["khan_academy_computing"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-khan-academy-computing-0-538a61690540", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.325}, "inspired_by": "khan_academy_computing", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Name the object", "Describe aliasing", "Contrast with an explicit copy"], "prompt": "In Python, why is `b = a` for a list not the same as copying the list?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "khan_academy_computing", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Assignment copies the reference, not a deep snapshot. Use a slice or copy() when a new list is required.", "strategy": ["Name the object", "Describe aliasing", "Contrast with an explicit copy"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "5", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "khan_academy_computing", "language": "python", "topic": "programming"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["khan_academy_computing"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cur-khan-academy-computing-1-ab5dc0c4e738", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.1750000000000003}, "inspired_by": "khan_academy_computing", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "How many times does `for i in range(5):` run the body?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "khan_academy_computing", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "range(5) yields 0,1,2,3,4 — five values.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 5.0, "got": 5.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "5.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "A single equals is assignment and is a SyntaxError in that position. Use `if score == 100:`.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "khan_academy_computing", "language": "python", "topic": "programming"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["khan_academy_computing"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-khan-academy-computing-2-87f611ddbd31", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.5}, "inspired_by": "khan_academy_computing", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A learner writes `if score = 100:` expecting a perfect-score branch. What is wrong, and what should they write?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "khan_academy_computing", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Comparison uses ==. Assignment is a statement, not a boolean test there.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "A set is unordered (historically). dict keys keep insertion order in modern CPython and are unique.", "assumptions": [], "concept_id": "python.collections", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "khan_academy_computing", "language": "python", "topic": "programming"}, "difficulty": "beginner", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["khan_academy_computing"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-khan-academy-computing-3-54e186f4f941", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.75, "tests": 0.0, "total": 2.7750000000000004}, "inspired_by": "khan_academy_computing", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "You need unique words from a sentence while keeping first-seen order. Why is a set alone not enough in older Python mental models, and what does a dict do here?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "khan_academy_computing", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "dict.fromkeys(words) then list the keys. Do not sort unless the prompt asks for sorted unique words.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "4", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "khan_academy_computing", "language": "python", "topic": "programming"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["khan_academy_computing"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cur-khan-academy-computing-4-1d2e33805cf5", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.1}, "inspired_by": "khan_academy_computing", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "How many numbers does `list(range(1, 8, 2))` contain?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "khan_academy_computing", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1,3,5,7.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "6", "assumptions": [], "concept_id": "python.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "khan_academy_computing", "language": "python", "topic": "programming"}, "difficulty": "introductory", "domain": "coding", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["khan_academy_computing"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cur-khan-academy-computing-5-824a470699db", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.4250000000000003}, "inspired_by": "khan_academy_computing", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A tracing exercise: def add(a,b): return a+b. What is add(add(1,2), 3)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "khan_academy_computing", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Inner add is 3, then 3+3=6.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 6.0, "got": 6.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "6.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Merge sort divides in half each time (log n levels) and merges in linear time per level. Insertion sort may move each new key past all previous keys.", "assumptions": [], "concept_id": "cs.algorithms", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "mit_opencourseware", "language": "python", "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["mit_opencourseware"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-mit-opencourseware-0-0f11cc3fa460", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.85}, "inspired_by": "mit_opencourseware", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why is merge sort O(n log n) comparisons in the worst case while naive insertion sort is O(n^2)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "mit_opencourseware", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Recurrence T(n)=2T(n/2)+Theta(n) solves to Theta(n log n). Insertion sort's nested scans are Theta(n^2) in the worst case.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Theta(n log n)", "assumptions": [], "concept_id": "cs.complexity", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "mit_opencourseware", "language": "python", "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["mit_opencourseware"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-mit-opencourseware-1-06abe0c7701d", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 2.5}, "inspired_by": "mit_opencourseware", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A loop runs n times; each iteration does a binary search on a sorted array of n items. What is Theta of the comparisons?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "mit_opencourseware", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "n iterations times Theta(log n) per binary search.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Every edge has the same cost, so hop-count BFS already finds a shortest path. Dijkstra adds priority-queue overhead without changing the answer.", "assumptions": [], "concept_id": "cs.graphs", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "mit_opencourseware", "language": "python", "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["mit_opencourseware"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-mit-opencourseware-2-528bc45f2138", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.575}, "inspired_by": "mit_opencourseware", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "You have an unweighted maze on a grid. Why is BFS a better first choice than Dijkstra?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "mit_opencourseware", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Dijkstra generalizes BFS to nonnegative weights. Uniform weights make the extra machinery unnecessary.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "4", "assumptions": [], "concept_id": "cs.sorting", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "mit_opencourseware", "language": "python", "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["mit_opencourseware"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cur-mit-opencourseware-3-2ed8f98545ba", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.5}, "inspired_by": "mit_opencourseware", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Mergesort split of n=8: how many elements in each half after one even split?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "mit_opencourseware", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Even n splits into n/2 and n/2.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "A node may be processed before its predecessors, so subproblems are incomplete.", "assumptions": [], "concept_id": "cs.dynamic_programming", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "mit_opencourseware", "language": "python", "topic": "algorithms"}, "difficulty": "beginner", "domain": "coding", "education_level": "undergraduate", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["mit_opencourseware"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-mit-opencourseware-4-767c27931d09", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.475, "tests": 0.0, "total": 2.5}, "inspired_by": "mit_opencourseware", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A DP table for shortest paths is filled in random node order on a DAG. What can go wrong?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "mit_opencourseware", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Process in topological order (or relax like Bellman-Ford).", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The local array's storage ends when the function returns, so the pointer is dangling.", "assumptions": [], "concept_id": "python.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "harvard_cs50", "language": "c", "topic": "systems"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["harvard_cs50"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-harvard-cs50-0-2140c7509077", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.475}, "inspired_by": "harvard_cs50", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why can a C function returning a pointer to a local array be incorrect even if it compiles?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "harvard_cs50", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Automatic storage is reclaimed at return. Callers need heap allocation, a caller-owned buffer, or a static object with documented lifetime.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Buffer overflow / missing terminator. strlen+1 bytes are required for a C string.", "assumptions": [], "concept_id": "cs.os", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "harvard_cs50", "language": "c", "topic": "systems"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["harvard_cs50"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-harvard-cs50-1-708fad174e68", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 2.9000000000000004}, "inspired_by": "harvard_cs50", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A C program mallocs a buffer, copies a string without room for the NUL, then prints it. Name the defect class and the missing byte.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "harvard_cs50", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "C strings are NUL-terminated. strncpy without an explicit terminator is a common miss.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "fopen returns NULL on failure (missing file, permissions). Using the pointer is undefined.", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "harvard_cs50", "language": "c", "topic": "systems"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["harvard_cs50"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-harvard-cs50-2-b1a16989fdb8", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.375}, "inspired_by": "harvard_cs50", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why must you check fopen's return before fread, even if the path 'looks right'?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "harvard_cs50", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "I/O can fail. Always branch on NULL and inspect errno or perror.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The process may never exit; the leak grows with requests.", "assumptions": [], "concept_id": "cs.os", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "harvard_cs50", "language": "c", "topic": "systems"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["harvard_cs50"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-harvard-cs50-3-cdada21efa57", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.6, "tests": 0.0, "total": 2.75}, "inspired_by": "harvard_cs50", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why is forgetting to free a heap buffer in a long-running C server a problem even if the OS will reclaim memory at exit?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "harvard_cs50", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Match malloc/free on the request path. Exit reclamation does not help a daemon.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "No; POSIX text files may omit the final newline. Handle both.", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "harvard_cs50", "language": "c", "topic": "systems"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["harvard_cs50"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-harvard-cs50-4-5f508b4a99da", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 2.45}, "inspired_by": "harvard_cs50", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A C program reads a file with `while(fgets)` and treats a missing newline on the last line as a bug. Is it?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "harvard_cs50", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Do not require a newline to accept the last record.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "5", "assumptions": [], "concept_id": "math.algebra", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "openstax", "topic": "mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["openstax"], "implementation_evidence": [], "verification_methods": ["sympy"]}, "id": "or-mathematics-cur-openstax-0-216a7597aaac", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.15, "tests": 0.0, "total": 2.1750000000000003}, "inspired_by": "openstax", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Solve 3x - 6 = 9.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "openstax", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "sympy", "verified": true}, "runtime": null, "solution": "3x = 15, so x = 5.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": "5", "got": "5"}, "exit_code": null, "memory_mb": null, "method": "sympy", "passed": true, "result": "5", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "28", "assumptions": [], "concept_id": "math.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "openstax", "topic": "mathematics"}, "difficulty": "beginner", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["openstax"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cur-openstax-1-b7753ef9b1df", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.7}, "inspired_by": "openstax", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A linear cost is C(n)=4n+12. What is the cost of 7 extra items relative to 0 items?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "openstax", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "C(7)-C(0)=40-12=28. The intercept cancels; only the slope times 7 remains.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 28.0, "got": 28.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "28.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "15", "assumptions": [], "concept_id": "math.sequences", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "openstax", "topic": "mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["openstax"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cur-openstax-2-9ac33643dbcf", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.475}, "inspired_by": "openstax", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "The first three triangular numbers are 1, 3, 6. What is the 5th?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "openstax", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "T_n = n(n+1)/2. T_5=15.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 15.0, "got": 15.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "15.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "4", "assumptions": [], "concept_id": "math.algebra", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "openstax", "topic": "mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["openstax"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cur-openstax-3-398de19ff294", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.125, "tests": 0.0, "total": 2.0250000000000004}, "inspired_by": "openstax", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Solve 5x = 20. x=?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "openstax", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Divide both sides by 5.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 4.0, "got": 4.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "4.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "81", "assumptions": [], "concept_id": "math.geometry", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "openstax", "topic": "mathematics"}, "difficulty": "introductory", "domain": "mathematics", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["openstax"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-mathematics-cur-openstax-4-f3773bbcab3b", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.125}, "inspired_by": "openstax", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A square has perimeter 36. What is the area?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "openstax", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "Side 9, area 81.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 81.0, "got": 81.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "81.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "A historical language quirk. Test with `value === null`.", "assumptions": [], "concept_id": "python.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "mdn", "language": "javascript", "topic": "web"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["mdn"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-mdn-0-1025f0e18977", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.35}, "inspired_by": "mdn", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why does `typeof null === 'object'` in JavaScript, and what should you use instead to test for null?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "mdn", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Early JavaScript used a type tag that made null look like an object. Strict equality against null is the reliable check.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "fetch only rejects on network failure. HTTP 404 is a fulfilled Promise with ok=false. Check r.ok or r.status.", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "mdn", "language": "javascript", "topic": "web"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["mdn"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-mdn-1-29370f6214eb", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.375}, "inspired_by": "mdn", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why does `fetch(url).then(r => r.json()).then(data => data)` still need error handling for HTTP 404?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "mdn", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Treat non-2xx as an application error. catch() does not see them unless you throw.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "var is function-scoped, so every handler shares one i. Use let, or pass i into a factory.", "assumptions": [], "concept_id": "javascript.closures", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "mdn", "language": "javascript", "topic": "web"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["mdn"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-mdn-2-659cf299a1f5", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.65, "tests": 0.0, "total": 2.8000000000000003}, "inspired_by": "mdn", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "An event handler is added inside a loop with `var i` and later logs i. Why is it the last i, and what binding fixes it?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "mdn", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "let creates a per-iteration binding. Closures capture bindings, not snapshots of numbers.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "fetch only rejects on network failure; HTTP 404 is still a resolved Response.", "assumptions": [], "concept_id": "javascript.promises", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "mdn", "language": "javascript", "topic": "web"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["mdn"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-mdn-3-b1ea5c85f5b6", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.2750000000000004}, "inspired_by": "mdn", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "fetch().then(r => r.json()).then(use) with no catch: a 404 still hits use() with a body. Why?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "mdn", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Check r.ok before json().", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "GET", "assumptions": [], "concept_id": "cs.http", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "mdn", "language": "javascript", "topic": "web"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["mdn"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-mdn-4-27f27dc495ce", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.225, "tests": 0.0, "total": 2.25}, "inspired_by": "mdn", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Which method is defined as safe: GET or POST?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "mdn", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "GET should not have side effects. POST is for non-idempotent writes.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Revert records a new commit that undoes a change. Reset moves the branch pointer and can rewrite history others already pulled.", "assumptions": [], "concept_id": "python.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "the_odin_project", "language": "javascript", "topic": "web"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["the_odin_project"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-the-odin-project-0-10a2cf9aaddf", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.6500000000000004}, "inspired_by": "the_odin_project", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "What does `git revert` do that `git reset --hard` does not, and when is revert safer on a shared branch?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "the_odin_project", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "On shared branches, prefer revert so collaborators keep a linear, fetchable history.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The secret remains in git history and clones. Rotate the credential; history rewrite only helps unpushed or coordinated force-push, which still leaks if others fetched.", "assumptions": [], "concept_id": "cs.git", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "the_odin_project", "language": "javascript", "topic": "web"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["the_odin_project"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-the-odin-project-1-3df712d3b962", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 2.6500000000000004}, "inspired_by": "the_odin_project", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "You committed a secret to main and pushed. Why is deleting the file in a new commit not enough, and what must you still do?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "the_odin_project", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Treat leaked secrets as compromised. git rm does not unsay old blobs.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "JavaScript on the page can read a non-HttpOnly cookie, so XSS can steal the session. HttpOnly hides it from document.cookie.", "assumptions": [], "concept_id": "cs.http", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "the_odin_project", "language": "javascript", "topic": "web"}, "difficulty": "beginner", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["the_odin_project"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-the-odin-project-2-243cc149202f", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.5250000000000004}, "inspired_by": "the_odin_project", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why is storing a session identifier in a non-HttpOnly cookie riskier than an HttpOnly cookie?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "the_odin_project", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "HttpOnly is not a complete XSS defense, but it removes one theft path. Still validate and encode output.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "count is in the lexical environment, not a property of the returned object.", "assumptions": [], "concept_id": "javascript.closures", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "the_odin_project", "language": "javascript", "topic": "web"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["the_odin_project"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-the-odin-project-3-56edf93426aa", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.3000000000000003}, "inspired_by": "the_odin_project", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A module pattern returns {inc} that closes over count. Why can callers not assign count directly?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "the_odin_project", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Only the exported functions see count. That is encapsulation via closure.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Query strings land in logs, history, and Referer; POST body is not in the URL.", "assumptions": [], "concept_id": "cs.http", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "the_odin_project", "language": "javascript", "topic": "web"}, "difficulty": "introductory", "domain": "coding", "education_level": "introductory_college", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["the_odin_project"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-the-odin-project-4-a8c36a80ecc1", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.4000000000000004}, "inspired_by": "the_odin_project", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A form uses GET and puts a password in the query string. Name one reason POST to HTTPS is preferred.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "the_odin_project", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Still use TLS. GET is also cached and bookmarked.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "An iterable can produce an iterator via iter(). An iterator is the object that yields values via next() and is spent as you consume it.", "assumptions": [], "concept_id": "python.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "python_docs", "language": "python", "topic": "python"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["python_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-python-docs-0-e12f3d9866c9", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.275, "tests": 0.0, "total": 2.3000000000000003}, "inspired_by": "python_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "What is the difference between a Python iterable and an iterator?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "python_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Lists are iterable but not themselves iterators. iter(xs) returns an iterator. for-loops call iter() for you.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Bare except catches BaseException subclasses used for control flow. Catch ValueError for int().", "assumptions": [], "concept_id": "python.exceptions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "python_docs", "language": "python", "topic": "python"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["python_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-python-docs-1-143111532e38", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.2750000000000004}, "inspired_by": "python_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why can `except:` hide a KeyboardInterrupt, and what should you catch instead when parsing integers?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "python_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use except ValueError. Let KeyboardInterrupt and SystemExit propagate.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It uses __all__ if present, else public names. It pollutes the importer's namespace and hides origins.", "assumptions": [], "concept_id": "python.modules", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "python_docs", "language": "python", "topic": "python"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["python_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-python-docs-2-9a980d90d7ec", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.45}, "inspired_by": "python_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "What does `from package import *` use to decide names, and why is it risky in libraries?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "python_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Prefer explicit imports in library code. Star imports are a convenience for interactive sessions.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "{'a': 2}", "assumptions": [], "concept_id": "python.comprehensions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "python_docs", "language": "python", "topic": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["python_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-python-docs-3-96581b52ce87", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.6500000000000004}, "inspired_by": "python_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "What does `{k: v for k, v in [('a', 1), ('a', 2)]}` evaluate to, and why is there one key?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "python_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Dict displays last-write-wins for duplicate keys. The second pair overwrites.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "If read raises, close is skipped. with always runs __exit__.", "assumptions": [], "concept_id": "python.context_managers", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "python_docs", "language": "python", "topic": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["python_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-python-docs-4-e218cb9fd43c", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.575}, "inspired_by": "python_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why is `f = open(path); data = f.read(); f.close()` weaker than a with-block when read() can raise?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "python_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "try/finally is the manual equivalent. with is the standard spelling.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "`list` says it is a list. `list[int]` additionally says checkers should expect integer elements.", "assumptions": [], "concept_id": "python.typing", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "python_docs", "language": "python", "topic": "python"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["python_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-python-docs-5-78068f7e4ead", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.2}, "inspired_by": "python_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "What is the difference between `list` and `list[int]` in a function annotation?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "python_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "CPython does not enforce the parameter. Type checkers do.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "0", "assumptions": [], "concept_id": "python.collections", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "python_docs", "language": "python", "topic": "python"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["python_docs"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cur-python-docs-6-9b10397b0d1b", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.2, "tests": 0.0, "total": 2.1}, "inspired_by": "python_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "dict.fromkeys(['a','b'], 0) maps both keys to what value?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "python_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "fromkeys uses a shared default value.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.0, "got": 0.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "It returns [] because there are no rows to zip; *[] is no arguments to zip.", "assumptions": [], "concept_id": "python.iterators", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "python_docs", "language": "python", "topic": "python"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["python_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-python-docs-7-fec60537ea36", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.5}, "inspired_by": "python_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "`list(zip(*[]))` — what happens, and why is unzipping an empty list a corner case?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "python_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "zip() with no iterables yields empty. Guard empty matrices before unzip.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "To prevent data races and iterator invalidation at compile time: readers may share, a writer must be exclusive.", "assumptions": [], "concept_id": "rust.ownership", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "rust_docs", "language": "rust", "topic": "rust"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["rust_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-rust-docs-0-88cd39dffb69", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 2.45}, "inspired_by": "rust_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "In Rust, why can you have many immutable references or one mutable reference, but not both at once for the same value?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "rust_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The borrow checker encodes this aliasing rule. Mixing &T and &mut T to the same place is rejected.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Clone when you truly need two owned values. It is a smell if a borrow or restructuring would have been enough.", "assumptions": [], "concept_id": "rust.ownership", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "rust_docs", "language": "rust", "topic": "rust"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["rust_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-rust-docs-1-6fc4f857c02c", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.35}, "inspired_by": "rust_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "When would you clone a String to satisfy the borrow checker, and when is that a design smell?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "rust_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Clones allocate. Prefer &str, lifetimes, or moving once.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "push needs &mut self. An outstanding &T borrow forbids &mut T. End the immutable borrow first, or don't hold it across the mutation.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "rust_docs", "language": "rust", "topic": "rust"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["rust_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-rust-docs-2-4b04df475ee6", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 2.5250000000000004}, "inspired_by": "rust_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "You hold an immutable borrow of a Vec and try to push. Why does that fail, and what API change would make the intent legal?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "rust_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "NLL still cannot allow aliased mutation. Split the scopes.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "yes", "assumptions": [], "concept_id": "rust.ownership", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "rust_docs", "language": "rust", "topic": "rust"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["rust_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-rust-docs-3-a8b0464431be", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.15, "tests": 0.0, "total": 2.0500000000000003}, "inspired_by": "rust_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Is i32 Copy? Yes or no.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "rust_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Integer types implement Copy, so assignment does not move them.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "No; Vec assignment moves. Clone is explicit.", "assumptions": [], "concept_id": "rust.ownership", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "rust_docs", "language": "rust", "topic": "rust"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["rust_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-rust-docs-4-eb74fb94a54f", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.8, "tests": 0.0, "total": 2.825}, "inspired_by": "rust_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why does Vec<String> move on assignment while Vec<i32> copies the vector header but still moves heap buffers... actually Vec is not Copy. Correct the misconception: does assigning a Vec clone the elements?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "rust_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Neither Vec<T> is Copy. Move transfers the pointer. clone() deep-copies.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Close signals no more sends. Further sends are programmer errors. Receives drain remaining values then zeros so range loops terminate.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "go_docs", "language": "go", "topic": "go"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["go_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-go-docs-0-9bcca9c903e0", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.5250000000000004}, "inspired_by": "go_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why is sending on a closed Go channel a panic, while receiving from a closed channel yields the zero value?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "go_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use close only from the sender. Check the two-value receive form to distinguish a zero value from a closed channel.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Close is a signal from senders that no more values will be sent. Receivers closing can panic senders still sending.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "go_docs", "language": "go", "topic": "go"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["go_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-go-docs-1-8d07fb4a5a74", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.3000000000000003}, "inspired_by": "go_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why should you not close a channel from the receiver side in a typical worker pool?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "go_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Sender closes; receivers range until close. Coordinate shutdown with WaitGroup and a done channel if needed.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Deadlock: the same goroutine waits for a lock it already holds. Do not call user callbacks while holding the lock, or use a documented reentrant design (not standard mutex).", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "go_docs", "language": "go", "topic": "go"}, "difficulty": "intermediate", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["go_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-go-docs-2-a12d47d74fcb", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 3.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.7, "tests": 0.0, "total": 5.725}, "inspired_by": "go_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A function locks a mutex, then calls a callback that tries to lock the same mutex. What happens with a non-reentrant mutex, and how do you avoid it?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "go_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Keep critical sections small. Copy data, unlock, then callback.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "no", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "go_docs", "language": "go", "topic": "go"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["go_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-go-docs-3-d8868dc7332a", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.2750000000000004}, "inspired_by": "go_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Does `go f()` wait for f to finish before the next statement? Yes or no.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "go_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "It starts a goroutine. Wait with channels or WaitGroup.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Concurrent map writes are undefined / can panic.", "assumptions": [], "concept_id": "go.concurrency", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "go_docs", "language": "go", "topic": "go"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["go_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-go-docs-4-e45572812cc9", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.375}, "inspired_by": "go_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A map is written from two goroutines without sync. What is the specified risk?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "go_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use a mutex or sync.Map as documented. Do not race on maps.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Placeholders disappear and are not a reliable accessible name. Labels persist for assistive technology and visual users.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "w3c_whatwg", "language": "html", "topic": "web"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["w3c_whatwg"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-w3c-whatwg-0-36a9804114db", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.45}, "inspired_by": "w3c_whatwg", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why should a form control that is required also have an accessible name, not only a placeholder?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "w3c_whatwg", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Associate a label via for/id or wrapping. Required is independent of naming.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "A div is not a form-associated submit control, is not keyboard-activated by default, and lacks button semantics for assistive tech.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "w3c_whatwg", "language": "html", "topic": "web"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["w3c_whatwg"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-w3c-whatwg-1-2e331faf05fe", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.575}, "inspired_by": "w3c_whatwg", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why is `div` with a click handler a poor substitute for a `button` that submits a form?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "w3c_whatwg", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Use button type=submit. If you must use another element, you must reconstruct keyboard, role, and form behavior.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The label can point at that control, so clicking the label focuses/activates it and assistive tech can name it.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "w3c_whatwg", "language": "html", "topic": "web"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["w3c_whatwg"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-w3c-whatwg-2-00d14036d6d7", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.375}, "inspired_by": "w3c_whatwg", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "What does a unique `id` on a page enable for a label's `for` attribute?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "w3c_whatwg", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Duplicate ids break the association. One id per document.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "yes", "assumptions": [], "concept_id": "cs.http", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "w3c_whatwg", "language": "html", "topic": "web"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["w3c_whatwg"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-w3c-whatwg-3-5bb339a3294b", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.5250000000000004}, "inspired_by": "w3c_whatwg", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "In HTML, is `<img>` a void element that must not have a closing tag in HTML syntax? Yes or no.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "w3c_whatwg", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Void elements have no content. XML/XHTML differs; this item is HTML.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The HTML is delivered to the client; anyone can read the source.", "assumptions": [], "concept_id": "cs.http", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "w3c_whatwg", "language": "html", "topic": "web"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["w3c_whatwg"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-w3c-whatwg-4-49e506119a70", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.5500000000000003}, "inspired_by": "w3c_whatwg", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why is putting a secret in a data-* attribute on a public page still a leak?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "w3c_whatwg", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Secrets belong on the server, not in markup.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It becomes an alias for the rowid, so lookups and inserts use the table's implicit row identity.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "sqlite_docs", "language": "sql", "topic": "sql"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["sqlite_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-sqlite-docs-0-336cba9f01df", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.375}, "inspired_by": "sqlite_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "In SQLite, why is `INTEGER PRIMARY KEY` special compared with a non-integer primary key?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "sqlite_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "WITHOUT ROWID tables are the exception. Otherwise INTEGER PRIMARY KEY is the rowid.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "sql_generation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The OR means rows matching only y still qualify, so an index on x cannot find them. Often you need a second index or a UNION of two index lookups.", "assumptions": [], "concept_id": "cs.sql", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "sqlite_docs", "language": "sql", "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["sqlite_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-sqlite-docs-1-5bb282a3948b", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.625, "tests": 0.0, "total": 2.9000000000000004}, "inspired_by": "sqlite_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why can `SELECT * FROM t WHERE x = 1 OR y = 2` be hard to index well with a single B-tree on (x)?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "sqlite_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "OR across different columns fights a single-column index. AND of indexed prefixes is easier.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "3", "assumptions": [], "concept_id": "cs.sql", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "sqlite_docs", "language": "sql", "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["sqlite_docs"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-coding-cur-sqlite-docs-2-13caa9c5553f", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.8000000000000003}, "inspired_by": "sqlite_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "In SQLite, what does COUNT(*) return on a table with 3 rows including one all-NULL row?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "sqlite_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "COUNT(*) counts rows, not non-NULL values. COUNT(column) would skip NULLs in that column.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 3.0, "got": 3.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "3.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "real", "assumptions": [], "concept_id": "cs.sql", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "sqlite_docs", "language": "sql", "topic": "sql"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["sqlite_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-sqlite-docs-3-a4dfe28a5e42", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.15, "tests": 0.0, "total": 2.1750000000000003}, "inspired_by": "sqlite_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "SQLite: SELECT typeof(1.5); what type name?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "sqlite_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Floating values are REAL affinity/storage.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "A leading wildcard prevents a left-to-right index prefix match.", "assumptions": [], "concept_id": "sql.indexes", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "sqlite_docs", "language": "sql", "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["sqlite_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-sqlite-docs-4-1a28efeb0eb1", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.625}, "inspired_by": "sqlite_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why might `WHERE name LIKE '%son'` not use a normal B-tree index on name?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "sqlite_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "LIKE 'son%' can use the index; '%son' generally cannot.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "It holds a snapshot so statements in the same transaction see a stable view and avoid non-repeatable reads of committed updates.", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "postgresql_docs", "language": "sql", "topic": "sql"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["postgresql_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-postgresql-docs-0-965bd2827e88", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.3, "tests": 0.0, "total": 2.325}, "inspired_by": "postgresql_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "What does REPEATABLE READ prevent in PostgreSQL that READ COMMITTED does not?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "postgresql_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "READ COMMITTED takes a new snapshot per statement. Repeatable read keeps one snapshot until commit or rollback. Write conflicts can still abort the transaction.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "sql_generation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Random I/O into most of the heap can be slower than one sequential read. Selectivity is too low for the index to win.", "assumptions": [], "concept_id": "sql.indexes", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "postgresql_docs", "language": "sql", "topic": "sql"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["postgresql_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-postgresql-docs-1-29077b4f3929", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.45}, "inspired_by": "postgresql_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why might a sequential scan beat an index on a query that matches 90% of a table?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "postgresql_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Indexes help selective predicates. The planner compares costs; high match rate favors seq scan.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The index contains all columns the query needs, so PostgreSQL can avoid heap fetches when visibility allows.", "assumptions": [], "concept_id": "sql.indexes", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "postgresql_docs", "language": "sql", "topic": "sql"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["postgresql_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-postgresql-docs-2-c330211941c5", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.475}, "inspired_by": "postgresql_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "What is a covering index in PostgreSQL terms (Index Only Scan), and what extra data makes it possible?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "postgresql_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "INCLUDE columns or a matching btree of selected columns. VACUUM/visibility maps still matter.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "unknown", "assumptions": [], "concept_id": "cs.sql", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "postgresql_docs", "language": "sql", "topic": "sql"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["postgresql_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-postgresql-docs-3-b7fe0b9a4fa0", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.325, "tests": 0.0, "total": 2.35}, "inspired_by": "postgresql_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "NULL AND TRUE in SQL three-valued logic is what: true, false, or unknown?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "postgresql_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "AND with unknown and true is unknown.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "NULL = NULL is unknown, not true. Use IS NULL.", "assumptions": [], "concept_id": "cs.sql", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "postgresql_docs", "language": "sql", "topic": "sql"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["postgresql_docs"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-postgresql-docs-4-19ce56b50875", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 2.5500000000000003}, "inspired_by": "postgresql_docs", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A unique constraint allows two NULLs in some SQL systems. Why is `WHERE email = NULL` still wrong to find them?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "postgresql_docs", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Three-valued logic. Equality is not a null test.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "write can transfer fewer bytes than requested. The caller must loop on the remainder or treat a short write as an error.", "assumptions": [], "concept_id": "python.functions", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "linux_man_pages", "language": "c", "topic": "systems"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["linux_man_pages"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-linux-man-pages-0-37affea83a1f", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.35}, "inspired_by": "linux_man_pages", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why must a program check the return value of `write()` instead of assuming the full buffer was written?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "linux_man_pages", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Signals, pipes, and device limits can produce short writes. POSIX does not guarantee a full transfer in one call.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The allocator may not find a large enough contiguous region (or hit limits). Check for NULL before writing.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "linux_man_pages", "language": "c", "topic": "systems"}, "difficulty": "beginner", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["linux_man_pages"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-linux-man-pages-1-9b1b8a015379", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 2.575}, "inspired_by": "linux_man_pages", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why can `malloc` returning NULL be more likely after a huge allocation than a 16-byte one, and what must the caller do?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "linux_man_pages", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "OOM is a normal failure. Dereferencing NULL is not.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "gets cannot bound the write. Any longer line overruns the buffer. Use fgets or similar with a size.", "assumptions": [], "concept_id": "python.file_io", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "linux_man_pages", "language": "c", "topic": "systems"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["linux_man_pages"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-linux-man-pages-2-6c68d56dcdf6", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 2.4250000000000003}, "inspired_by": "linux_man_pages", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A program uses `gets` to read a line. Why is that always a defect even if the input 'is usually short'?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "linux_man_pages", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Unbounded C string APIs are unsafe. Size belongs in the API.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "debugging_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "no", "assumptions": [], "concept_id": "cs.os", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "linux_man_pages", "language": "c", "topic": "systems"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["linux_man_pages"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-linux-man-pages-3-5e3212ed912e", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.375}, "inspired_by": "linux_man_pages", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Does a successful write() guarantee the data is on durable storage? Yes or no.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "linux_man_pages", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "It may sit in page cache until fsync/fdatasync or equivalent.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "printf may itself fail or succeed and change errno.", "assumptions": [], "concept_id": "cs.os", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "linux_man_pages", "language": "c", "topic": "systems"}, "difficulty": "introductory", "domain": "coding", "education_level": "professional", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["linux_man_pages"], "implementation_evidence": [], "verification_methods": []}, "id": "or-coding-cur-linux-man-pages-4-69799c8385f4", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.3000000000000003}, "inspired_by": "linux_man_pages", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why can `errno` after a failed libc call be overwritten if you printf before checking it?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "linux_man_pages", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Save errno immediately, then log.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "2", "assumptions": [], "concept_id": "science.newton", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "nasa_education", "topic": "astronomy"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["nasa_education"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cur-nasa-education-0-d3ccff057684", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.45, "tests": 0.0, "total": 2.85}, "inspired_by": "nasa_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A spacecraft of mass 800 kg feels 1600 N of net thrust. What is the acceleration in m/s^2?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "nasa_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "a = F/m = 1600/800 = 2.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "numerical", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0, "got": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "50", "assumptions": [], "concept_id": "science.energy", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "nasa_education", "topic": "astronomy"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["nasa_education"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cur-nasa-education-1-d58c309a97fa", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.9000000000000004}, "inspired_by": "nasa_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A 4 kg probe moves at 5 m/s. What is its kinetic energy in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "nasa_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "KE=1/2 m v^2 = 0.5*4*25=50.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 50.0, "got": 50.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "50.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "No net force means constant velocity. Thrust was needed to change speed, not to keep moving.", "assumptions": [], "concept_id": "science.newton", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "nasa_education", "topic": "astronomy"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["nasa_education"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cur-nasa-education-2-edee65b431a4", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.325}, "inspired_by": "nasa_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "In deep space with negligible gravity, why does a spacecraft keep moving after the engine cuts off?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "nasa_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Newton's first law. Drag is what makes Earth intuition different.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "11314", "assumptions": [], "concept_id": "science.newton", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "nasa_education", "topic": "astronomy"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["nasa_education"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cur-nasa-education-3-ef8055a97e6b", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.25, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.575}, "inspired_by": "nasa_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Using v=sqrt(2gR) with g=10 m/s2 and R=6.4e6 m, what is v rounded to the nearest integer m/s?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "nasa_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "2gR=1.28e8; sqrt(1.28e8)≈11313.71, which rounds to 11314.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 11314.0, "got": 11314.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "11314.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "A normal is a long-run statistical baseline. A forecast is a short-range prediction of a specific state.", "assumptions": [], "concept_id": "science.method", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "noaa_education", "topic": "earth_science"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["noaa_education"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cur-noaa-education-0-c4cbc6896f34", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.625}, "inspired_by": "noaa_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why is a 30-year climate normal not the same thing as tomorrow's weather forecast?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "noaa_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Climate describes distributions over decades. Weather is the atmosphere's state at a time and place.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The mean would silently omit the storm surge days. Missingness is information, not a reason to pretend the series is complete.", "assumptions": [], "concept_id": "science.method", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "noaa_education", "topic": "earth_science"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["noaa_education"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cur-noaa-education-1-454d310b199b", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.5, "tests": 0.0, "total": 2.5250000000000004}, "inspired_by": "noaa_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A coastal sensor fails for three days during a storm. Why must a monthly mean sea-level plot disclose that gap?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "noaa_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Document coverage. Imputation is a separate, declared step.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "2", "assumptions": [], "concept_id": "science.waves", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "noaa_education", "topic": "earth_science"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["noaa_education"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cur-noaa-education-2-d7f452bd659e", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.7}, "inspired_by": "noaa_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A water wave has period 4 s and wavelength 8 m. What is the speed in m/s?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "noaa_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "v=λ/T=8/4=2.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 2.0, "got": 2.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "2.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "0.3", "assumptions": [], "concept_id": "science.method", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "noaa_education", "topic": "earth_science"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["noaa_education"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cur-noaa-education-3-c75ce3a0b359", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.4000000000000004}, "inspired_by": "noaa_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A tide gauge reads 1.2 m, then 1.5 m. What is the delta in metres?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "noaa_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "1.5-1.2=0.3.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 0.3, "got": 0.3}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "0.3", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Magnitude estimates energy at the source. Intensity describes local shaking, which depends on distance, depth, and ground conditions.", "assumptions": [], "concept_id": "science.method", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "usgs_education", "topic": "earth_science"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["usgs_education"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cur-usgs-education-0-af3154354332", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.375, "tests": 0.0, "total": 2.2750000000000004}, "inspired_by": "usgs_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why can the magnitude of an earthquake and the intensity felt at a city differ?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "usgs_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "The same magnitude event can be barely felt far away and damaging on soft sediment nearby.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Different distance/azimuth from the rupture, and different site geology (amplification on sediments vs rock).", "assumptions": [], "concept_id": "science.method", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "usgs_education", "topic": "earth_science"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["usgs_education"], "implementation_evidence": [], "verification_methods": []}, "id": "or-science-cur-usgs-education-1-e938905896f2", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.625}, "inspired_by": "usgs_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Two seismometers record the same quake with different peak accelerations. Give two non-instrument-failure reasons.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "usgs_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Intensity is local. Magnitude is a source estimate.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "100", "assumptions": [], "concept_id": "science.energy", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "usgs_education", "topic": "earth_science"}, "difficulty": "beginner", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["usgs_education"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cur-usgs-education-2-c80e09a2ecf1", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.5, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 2.9250000000000003}, "inspired_by": "usgs_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A 2 kg rock falls 5 m. Taking g=10 m/s^2 and PE=mgh, what is the loss of gravitational PE in joules?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "usgs_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "mgh=2*10*5=100 J.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 100.0, "got": 100.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "100.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "48000", "assumptions": [], "concept_id": "science.method", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "usgs_education", "topic": "earth_science"}, "difficulty": "introductory", "domain": "science", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["usgs_education"], "implementation_evidence": [], "verification_methods": ["numeric"]}, "id": "or-science-cur-usgs-education-3-5ae68a6fa28e", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.125, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.45}, "inspired_by": "usgs_education", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A map scale is 1:24000. 2 inches on the map is how many inches on the ground?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "usgs_education", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.707, "notes": [], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.5, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 1.0}, "tier": "S", "verification_method": "numeric", "verified": true}, "runtime": null, "solution": "2*24000=48000 inches.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "simple_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "verification", "knowledge_normalization"], "translation_status": "original", "verification": {"command": null, "compiler_version": null, "details": {"expected": 48000.0, "got": 48000.0}, "exit_code": null, "memory_mb": null, "method": "numeric", "passed": true, "result": "48000.0", "runtime_s": null, "runtime_version": null, "stderr": null, "stdout": null, "tests_failed": null, "tests_passed": null}}
{"answer": "Publicly posted is not the same as redistributable. Each resource can carry a different license, including NC or SA terms.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "oer_commons", "topic": "education"}, "difficulty": "introductory", "domain": "human", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["oer_commons"], "implementation_evidence": [], "verification_methods": []}, "id": "or-human-cur-oer-commons-0-d9326382bb6a", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.425, "tests": 0.0, "total": 2.325}, "inspired_by": "oer_commons", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Give one reason an open educational resource still needs its license checked before it enters a dataset.", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "oer_commons", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Store the exact license, attribution, and permitted use. Do not assume a catalog site's presence is a grant.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "teaching", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "No. Informal permission is not a clear redistribution license. Leave it out or obtain an explicit license.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "oer_commons", "topic": "education"}, "difficulty": "introductory", "domain": "human", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["oer_commons"], "implementation_evidence": [], "verification_methods": []}, "id": "or-human-cur-oer-commons-1-52640140b25f", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.575, "tests": 0.0, "total": 2.475}, "inspired_by": "oer_commons", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "A worksheet is labeled 'free to use in class' with no SPDX. Can Open Reason copy it into a CC BY 4.0 dataset?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "oer_commons", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Public posting is not CC BY. Ambiguous licenses stay out of the release.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "BY means you must credit the licensor in the manner they request, commercially or not.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "oer_commons", "topic": "education"}, "difficulty": "introductory", "domain": "human", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["oer_commons"], "implementation_evidence": [], "verification_methods": []}, "id": "or-human-cur-oer-commons-2-c97b93b516fc", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.25}, "inspired_by": "oer_commons", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why is attribution still required for CC BY even when commercial use is allowed?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "oer_commons", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Commercial rights and attribution are separate license axes.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Copyright still covers the wording; inspiration is original tasks with attribution of influence, not quotation.", "assumptions": [], "concept_id": "science.method", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "oer_commons", "topic": "education"}, "difficulty": "introductory", "domain": "human", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["oer_commons"], "implementation_evidence": [], "verification_methods": []}, "id": "or-human-cur-oer-commons-3-23748404cb4e", "metadata": {"auto_approved_curriculum": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.0, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.35, "tests": 0.0, "total": 2.25}, "inspired_by": "oer_commons", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "Why is 'inspired by a public syllabus' not a license to copy homework text?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "oer_commons", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Open Reason writes original prompts and sets verbatim false.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "Share-alike requires derivatives to use a compatible SA license. Relicensing as non-SA CC BY would break the grant.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "wikibooks", "topic": "education"}, "difficulty": "beginner", "domain": "human", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["wikibooks"], "implementation_evidence": [], "verification_methods": []}, "id": "or-human-cur-wikibooks-0-52e94713f62d", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.875, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.525, "tests": 0.0, "total": 3.3000000000000003}, "inspired_by": "wikibooks", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "If a textbook is CC BY-SA, why must derived dataset rows keep share-alike instead of being relicensed as CC BY 4.0?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "wikibooks", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Keep the original SPDX on those rows or exclude them from a CC BY-only release.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "teaching", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "A close adaptation can still be a derivative. SA follows derivatives. If unsure, do not include it in a non-SA corpus.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "wikibooks", "topic": "education"}, "difficulty": "beginner", "domain": "human", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["wikibooks"], "implementation_evidence": [], "verification_methods": []}, "id": "or-human-cur-wikibooks-1-cf4387aa13de", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.625, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.55, "tests": 0.0, "total": 3.075}, "inspired_by": "wikibooks", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "You rewrite a CC BY-SA paragraph in your own words but keep the same examples and structure. Why might share-alike still attach?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "wikibooks", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Paraphrase is not a clean room. Original tasks with independent examples avoid the issue.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "The combination must be released under a license the originals permit for derivatives, usually the same SA family.", "assumptions": [], "concept_id": "python.loops", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "wikibooks", "topic": "education"}, "difficulty": "intermediate", "domain": "human", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["wikibooks"], "implementation_evidence": [], "verification_methods": []}, "id": "or-human-cur-wikibooks-2-2cf17da87a3b", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 3.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.25, "tests": 0.0, "total": 5.525}, "inspired_by": "wikibooks", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "What does 'compatible share-alike' mean when combining two SA works?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "wikibooks", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "You cannot wash SA off by mixing with CC BY-only text in one redistributed unit.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "concept_explanation", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}
{"answer": "A close paraphrase can still be a derivative work under SA terms.", "assumptions": [], "concept_id": "python.conditionals", "constraints": ["Original Open Reason wording. Do not treat this as a copy of the named source."], "context": {"curriculum": true, "inspired_by": "wikibooks", "topic": "education"}, "difficulty": "beginner", "domain": "human", "education_level": "high_school", "evidence": {"authoritative_sources": [], "community_evidence": null, "conflicts": [], "educational_sources": ["wikibooks"], "implementation_evidence": [], "verification_methods": []}, "id": "or-human-cur-wikibooks-3-719e5e07934a", "metadata": {"auto_approved_curriculum": true, "concept_id_inferred": true, "difficulty_score": {"constraints": 0.7, "keywords": 0.0, "math_ops": 0.375, "observations": 0.0, "plan": 1.2000000000000002, "prompt_length": 0.4, "tests": 0.0, "total": 2.6750000000000003}, "inspired_by": "wikibooks", "pipeline_version": "1.3.8", "schema_version": "1.3.8", "verbatim": false}, "natural_language": "en", "observations": [], "plan": ["Read the prompt", "Apply the concept", "State the answer"], "prompt": "If you paraphrase a CC BY-SA chapter into a dataset row, why might share-alike still attach?", "provenance": {"commit": null, "derived": false, "derived_from": null, "generated_at": "2026-08-19T01:35:17Z", "generator": "open_reason.generation.curriculum", "generator_version": "1.3.8", "license": "Apache License 2.0", "license_spdx": "Apache-2.0", "retrieved_at": null, "source": "open_reason.generation.curriculum", "source_id": "wikibooks", "source_type": "synthetic", "source_url": null, "source_version": null, "transformation": "original_curriculum_task", "trust_tier": "tier7_synthetic", "unknown_reason": null}, "quality": {"evidence_confidence": 0.382, "notes": ["original curriculum task; not copied from the source"], "score_components": {"authority_score": 0.55, "community_score": 0.0, "cross_source_score": 0.25, "provenance_score": 1.0, "recency_score": 0.7, "verification_score": 0.0}, "tier": "A", "verification_method": null, "verified": false}, "runtime": null, "solution": "Write original problems. Do not relicense SA text as CC BY 4.0.", "strategy": ["Read the prompt", "Apply the concept", "State the answer"], "task_type": "applied_exercise", "temporal": null, "transformation": ["source_policy_auto_approve", "original_task_generation", "unverified", "knowledge_normalization"], "translation_status": "original", "verification": null}